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MCP server · registry snapshot 2026-10-27 · last tested 2026-10-27

io.github.JcJamet/ia-qa-eval

IA-QA Eval & RAG — 38 tools — the publisher's title

by JcJamet · GitHub account (the registry's namespace rule)repository owner on GitHub: ia-qa-com (another account)Source ↗

LLM & RAG evals: hallucination, eval contracts, semantic tests, tokens & model info. Free, no key. — the publisher's description

4 of 4 record checks metRead-only · tools listed 2026-10-27version 1.0.1streamable HTTP38 tools

Summary

io.github.JcJamet/ia-qa-eval is a remote MCP server listed in the official MCP registry at version 1.0.1, under the namespace of the GitHub account JcJamet. Its linked repository, github.com/ia-qa-com/mcp, belongs to another GitHub account, ia-qa-com. On 2026-10-27 ProtocolProbe connected to it in read-only mode and read its inventory: 38 tools, 0 resources and 0 prompts.

Record checks

4 of 4 record checks met · 4 do not apply · 1 not checked

  • met: Registry entry is active and says how to run it
  • met: Source repository link opens
  • met: Repository is not archived
  • met: Code pushed to the repository in the 90 days before our check
  • not checked: Repository publishes a security policy (SECURITY.md)
  • not applicable: Package names its licence with a standard (SPDX) identifier
  • not applicable: The version the registry lists can be installed and is not withdrawn
  • not applicable: npm package carries build provenance (attestation)
  • not applicable: No known critical or high advisory in the package or its dependencies
  • Not ranked by downloads: a remote server publishes no download figure
  • Not ranked by stars: 0 stars (ranked from 10)

From public records, not a safety rating. Each check with its reason · Is it safe to install?

Operate this server? Correct a fact · README badge · Run the checks yourself

Key facts

Runs
remote (hosted by the publisher)
Transport
streamable HTTP
Your own values
none declared (not a guarantee)
Sign-in
none needed to open a session
Repository
public
Tools
38
Last tested
2026-10-27

Tool list size

18,452 tokens on Claude Opus 5.5

Added to every request that loads this server's tools (38 tools). Counted with Anthropic's token counter on 2026-10-27, from the tool list we read on 2026-10-27. Median across 23,424 counted servers: 2,725 tokens. How it is counted

How a client gets in

Connects without signing in

Read from the server's public metadata on 2026-10-27 (www.ia-qa.com), in our read-only connection; no tool was called. It may have changed since. How it is read

Tool list at the three APIs

Not sent yet for this version (1.0.1).

Add to your client

How fresh this is

Live-tested
yes, a real session (not a text-only review)
Last tested
2026-10-27
Mode
read-only (no tool calls)
Latest version
1.0.1, published 2026-10-26 (registry, as of the 2026-10-27 snapshot)
First listed version
2026-10-26 (earliest version still in the registry; older removed versions would be earlier)
Version history
2 versions listed, all on 2026-10-26; 2 in the 90 days before the 2026-10-27 snapshot.
Most recent 2 versions
  • 1.0.1 · 2026-10-26
  • 1.0.0 · 2026-10-26
(versions still listed in the registry only)
Registry data
snapshot 2026-10-27
Package and repository
checked 2026-10-27
Engine
mcp-runtime-engine@0.1.0 · sdk@1.32.0

Dead or stale signals

None found in the records we hold

Looked for and not found: deprecated in the registry; repository link does not open; repository archived; no push in over 365 days. Does not apply: listed version cannot be installed or is withdrawn. Each line is a dated fact from a public record. It does not say whether the server still works, and a record can change after the date shown.

Changes since the last refresh

New in the registry: not in the list of 2026-10-26, listed on 2026-10-27 with version 1.0.1 (published 2026-10-26).

Source: the official MCP Registry list on 2026-10-26 and on 2026-10-27.

What it is

What does this server offer?

Observed inventory
38tools
0resources
0prompts

None of its 38 tools are described as changing anything. For 38 the reading was uncertain, so no mark is shown.

  • get_testing_guidelineson 1 other server

    “Query the IA-QA methodology knowledge base.”

    Publisher declares: read-only yes · destructive no · idempotent yes · open-world no

    1 input
    • topicstring“The testing topic to retrieve guidelines for.”
  • “Search available MCP tools by keyword or category before calling them.”

    Publisher declares: read-only yes · destructive no · idempotent yes · open-world no

    4 inputs, 1 required
    • querystringrequired“Keyword(s) to search in tool name and description (e.g.”
    • categorystring“Optional: filter by category — data | encoding | text | llm | qa | rag | dev | security | web”
    • with_schemaboolean“Set true to include inputSchema in results (default: false)”
    • max_resultsnumber“Maximum tools to return (default 10, max 50).”
  • hallucination_checkon 3 other servers

    “Lexical hallucination check: verifies an LLM answer's words, numbers and polarity against the provided source/context.”

    Publisher declares: read-only yes · destructive no · idempotent yes · open-world no

    3 inputs, 2 required
    • answerstringrequired“The LLM-generated answer to verify”
    • contextstringrequired“The source/reference text that should ground the answer”
    • strictboolean“If true, every sentence in the answer must be supported (default: false)”
  • run_eval_contracton 1 other server

    “Parse a .ia-eval.yaml LLM test suite, call the specified LLM model for each scenario, run all configured scorers, and return a structured JSON report with per-scenario Pass/Fail verdicts and a Markdo…”

    Publisher declares: read-only yes · destructive no · idempotent no · open-world yes

    5 inputs
    • contract_pathstring“Absolute or relative path to a .ia-eval.yaml file (required unless inline_contract is provided)”
    • inline_contractobject“Raw contract object (alternative to contract_path).”
    • api_keysobject“API keys to use for LLM generation (all optional — falls back to server env vars)”
    • overridesobject“Override contract defaults”
    • validate_onlyboolean“Check the contract against the IA-EVAL schema and stop: no model call, no key, deterministic.”
  • run_semantic_testson 1 other server

    “Semantic assertion primitive: compare actual vs expected text pairs using cosine similarity + ROUGE-L.”

    Publisher declares: read-only yes · destructive no · idempotent yes · open-world no

    5 inputs, 1 required
    • casesarrayrequired“Array of (actual, expected) pairs to evaluate.”
    • thresholdsobject“Pass/fail thresholds (defaults: cosine 0.75, rouge_l 0.5).”
    • require_allboolean“If true (default), all cases must pass for overall PASS.”
    • modestring“tfidf (default): fast, free, lexical.”
    • api_keystring“OpenAI API key — required only when mode is embeddings.”
  • generate_ci_workflowon 2 other servers

    “Generate a ready-to-commit GitHub Actions workflow that gates a build on IA-QA.”

    Publisher declares: read-only yes · destructive no · idempotent yes · open-world no

    12 inputs
    • gatestring“Which gate to emit.”
    • contract_pathstring“Path to the .ia-eval.yaml contract, relative to the repo root (default: evals/smoke.ia-eval.yaml).”
    • providerstring“LLM provider the contract runs against — decides which repository secret the workflow wires (default: groq).”
    • cli_toolsarray“IA-QA tool names to run as deterministic gates, e.g.”
    • triggersarray“Workflow triggers (default: push + pull_request).”
    • cronstring“Cron expression when triggers include 'schedule' (default: '0 6 * * 1' — Mondays 06:00 UTC).”
    • min_scorenumber“Override the contract min_score (0-100).”
    • fail_on_failboolean“Fail the build on a FAIL/PARTIAL verdict (default: true).”
    • workflow_namestring“Workflow display name (default: "IA-QA Quality Gate").”
    • node_versionstring“Node version for the CLI steps (default: "20").”
    • app_start_commandstring“Command that boots the app for the selector_drift gate, e.g.”
    • app_base_urlstring“URL the drift gate waits for before capturing (default: http://127.0.0.1:3000).”
  • needle_haystack_generateon 1 other server

    “Generate a "needle in a haystack" test: embeds a target fact into a large block of filler text at a specified position.”

    Publisher declares: read-only yes · destructive no · idempotent no · open-world no

    4 inputs, 2 required
    • needlestringrequired“The fact to hide (e.g.”
    • questionstringrequired“The question to ask the LLM (e.g.”
    • tokensinteger“Target haystack size in tokens (default: 5000, max: 100000)”
    • positionstring“Where to insert the needle: "start", "middle", "end", "random" (default: "middle")”
  • generate_eval_yamlon 1 other server

    “Generate a complete .ia-eval.yaml evaluation contract from a plain-language description of what your LLM should do.”

    Publisher declares: read-only yes · destructive no · idempotent no · open-world yes

    4 inputs, 1 required
    • descriptionstringrequired“Plain-language description of what the LLM under test should do.”
    • system_promptstring“Optional system prompt of the LLM under test.”
    • scenario_countnumber“Number of scenarios to generate (default: 5).”
    • task_typestring“Optional task type hint to guide evaluator selection.”
  • metamorphic_checkon 1 other server

    “Reference-free stability primitive: instead of comparing an answer to a ground truth, it checks that an assistant's answer stays INVARIANT when the QUESTION is transformed (typo, casing, paraphrase, …”

    Publisher declares: read-only yes · destructive no · idempotent yes · open-world no

    7 inputs, 2 required
    • baseobjectrequired“The reference run: the original question and the answer your system produced for it.”
    • variantsarrayrequired“Answers produced for transformed versions of the same question, each tagged with the relation that was applied.”
    • modestring“tfidf (default): free, lexical, deterministic — but a genuine paraphrase rarely reaches 0.80, so gate on case/typo and treat paraphrase as a trend.”
    • api_keystring“OpenAI API key — required only when mode is embeddings.”
    • thresholdsobject“Per-relation threshold overrides.”
    • baseline_guardobject“Correctness floor applied to the BASE answer before anything is scored.”
    • require_allboolean“If true (default), every gated variant must pass.”
  • “Test a SKILL.md in the open Agent Skills format (https://agentskills.io/specification — read by Claude Code, Codex, GitHub Copilot, Cursor, Gemini CLI, OpenCode and others) in two stages.”

    Publisher declares: read-only yes · destructive no · idempotent no · open-world yes

    8 inputs, 1 required
    • skill_mdstringrequired“Full content of the SKILL.md file to test, YAML frontmatter included.”
    • dir_namestring“Name of the folder holding the SKILL.md.”
    • scenariosarray“Fixed user requests for a reproducible gate: [{"prompt": "...", "should_trigger": true}].”
    • other_skillsarray“The other skills installed next to this one, [{"name", "description"}], so triggering is tested against the real neighbours.”
    • scenario_countnumber“Number of requests to generate when scenarios is omitted: half should-load, half near misses.”
    • lint_onlyboolean“Run the format check only: no model call, no key, deterministic.”
    • modelstring“LLM model ID to use for both scenario generation and testing (e.g.”
    • api_keystring“API key for the chosen model provider.”
  • llm_output_validatoron 1 other server

    “Validate an LLM response against QA criteria: format checks (JSON, code, markdown), content rules (must-include, must-not-include), length constraints, language detection, and safety patterns.”

    Publisher declares: read-only yes · destructive no · idempotent yes · open-world no

    9 inputs, 1 required
    • outputstringrequired“The LLM output text to validate”
    • expected_formatstring“Expected output format”
    • must_includestring“Comma-separated strings that MUST appear in the output”
    • must_not_includestring“Comma-separated strings that must NOT appear (e.g.”
    • max_lengthnumber“Maximum character length for the output”
    • min_lengthnumber“Minimum character length for the output”
    • expected_languagestring“Expected language of the output (en, fr, es, de…).”
    • check_safetyboolean“Check for PII patterns (emails, phones, SSN), profanity signals, and prompt leakage”
    • check_json_schemastring“If expected_format is JSON, provide required keys as comma-separated list to validate the structure”
  • compare_responseson 2 other servers

    “Compare two ALREADY-PRODUCED outputs (e.g.”

    Publisher declares: read-only yes · destructive no · idempotent yes · open-world no

    9 inputs, 2 required
    • response_astringrequired“First output (e.g.”
    • response_bstringrequired“Second output (e.g.”
    • label_astring“Label for output A (e.g.”
    • label_bstring“Label for output B (e.g.”
    • taskstring“The task/prompt both outputs were answering — used by the LLM judge for context”
    • referencestring“Optional ground-truth / expected answer.”
    • check_jsonboolean“Try to parse as JSON and compare structurally (keys, types, values)”
    • modelstring“Optional judge model id (BYOK).”
    • api_keystring“Optional API key for the judge model (BYOK).”
Show 26 more tools
  • analyze_responseson 2 other servers

    “Semantically analyze N already-produced model outputs for the SAME task (the MCP counterpart to the LLM Sandbox).”

    Publisher declares: read-only yes · destructive no · idempotent yes · open-world no

    2 inputs, 1 required
    • responsesarrayrequired“The outputs to analyze (same task, N models/prompts/versions).”
    • referencestring“Optional ground-truth answer.”
  • prompt_test_suiteon 1 other server

    “Define a test suite for a prompt: provide the system prompt, user prompt, and expected output criteria.”

    Publisher declares: read-only yes · destructive no · idempotent yes · open-world no

    10 inputs, 2 required
    • system_promptstringrequired“The system prompt under test”
    • user_promptstringrequired“The user prompt to send”
    • expected_behaviorstring“Description of what the LLM should do (free text)”
    • expected_formatstring“Expected output format”
    • must_includestring“Required content (comma-separated)”
    • must_not_includestring“Forbidden content (comma-separated)”
    • max_tokensnumber“Max token budget for the test”
    • temperaturenumber“Temperature to use”
    • check_safetyboolean“Include safety/PII checks in the rubric”
    • adversarial_promptsboolean“Auto-generate adversarial test variants (jailbreak, injection, edge cases)”
  • llm_format_checkon 1 other server

    “Validate that an LLM output matches an expected format: JSON, Markdown, code block, bullet list, numbered list, table, YAML, XML, or custom regex.”

    Publisher declares: read-only yes · destructive no · idempotent yes · open-world no

    3 inputs, 2 required
    • outputstringrequired“The LLM output to validate”
    • expected_formatstringrequired“Expected format”
    • regex_patternstring“Custom regex pattern (only when expected_format is "regex")”
  • consistency_checkon 3 other servers

    “Compare multiple LLM responses to the same prompt and detect inconsistencies using Jaccard word-overlap similarity and fact drift (number comparison).”

    Publisher declares: read-only yes · destructive no · idempotent yes · open-world no

    2 inputs, 1 required
    • responsesarrayrequired“Array of 2+ LLM responses to compare (same prompt, different runs)”
    • check_factsboolean“Check for contradictory numbers/facts across responses (default: true)”
  • llm_json_schema_checkon 1 other server

    “Validate that an LLM JSON output matches a JSON Schema definition.”

    Publisher declares: read-only yes · destructive no · idempotent yes · open-world no

    2 inputs, 2 required
    • outputstringrequired“The LLM JSON output (raw string, will be parsed)”
    • schemaobjectrequired“JSON Schema (draft-07 subset) to validate against”
  • response_quality_scoreon 1 other server

    “Score an LLM response against the criteria you pass: coverage of expected_keywords and compliance with max_length.”

    Publisher declares: read-only yes · destructive no · idempotent yes · open-world no

    4 inputs, 2 required
    • questionstringrequired“The original question/prompt”
    • responsestringrequired“The LLM response to score”
    • expected_keywordsarray“Keywords a correct answer must contain (case-insensitive).”
    • max_lengthnumber“Maximum character length.”
  • conversation_analyzeon 1 other server

    “Analyze a multi-turn conversation for context retention, topic drift, instruction following, and repetition.”

    Publisher declares: read-only yes · destructive no · idempotent yes · open-world no

    1 input, 1 required
    • messagesarrayrequired“Conversation messages in order”
  • cot_analyzeron 1 other server

    “Analyze a Chain-of-Thought (CoT) or reasoning trace from an LLM.”

    Publisher declares: read-only yes · destructive no · idempotent yes · open-world no

    2 inputs, 1 required
    • reasoningstringrequired“The CoT / reasoning trace text (e.g.”
    • expected_conclusionstring“Expected final answer to check against (optional)”
  • ab_test_reporton 1 other server

    “Generate an A/B test report comparing two prompts or model configurations.”

    Publisher declares: read-only yes · destructive no · idempotent yes · open-world no

    2 inputs, 2 required
    • variant_aobjectrequired“First variant configuration with name and score array”
    • variant_bobjectrequired“Second variant configuration with name and score array”
  • similarity_scoreon 1 other server

    “Compute text similarity between reference and hypothesis using multiple metrics: Cosine (BoW, TF-IDF), Jaccard, ROUGE-1, ROUGE-2, ROUGE-L, and BLEU.”

    Publisher declares: read-only yes · destructive no · idempotent yes · open-world no

    5 inputs
    • referencestring“Reference / expected text (ground truth)”
    • hypothesisstring“Hypothesis / actual text (LLM output)”
    • metricsarray“Metrics to compute (default: all).”
    • batcharray“Batch mode: array of {reference, hypothesis} pairs.”
    • thresholdnumber“Optional pass/fail threshold (0-1).”
  • run_vlm_test_suiteon 1 other server

    “Run a test suite against a Vision-Language Model (VLM) — send an image (URL or base64) + N test cases (each with a question + assertion) to GPT-4o, Claude 3.5, or Gemini.”

    Publisher declares: read-only yes · destructive no · idempotent no · open-world yes

    8 inputs, 3 required
    • image_urlstring“Public URL of the image to evaluate (required unless image_base64 is provided).”
    • image_base64string“Base64-encoded image data (required unless image_url is provided).”
    • image_mime_typestring“MIME type of the image if using image_base64 (default: image/jpeg).”
    • system_promptstring“Optional system prompt sent to the VLM.”
    • thresholdnumber“Pass rate threshold for overall verdict (default: 80, 0–100).”
    • modelstringrequired“VLM model to use.”
    • api_keystringrequired“API key for the model provider (OpenAI sk-, Anthropic sk-ant-, or Google AIzaSy...).”
    • test_casesarrayrequired“Array of test cases to run.”
  • embedding_similarityon 1 other server

    “Compute text similarity using local algorithms (Bag of Words, TF-IDF, Character N-grams).”

    Publisher declares: read-only yes · destructive no · idempotent yes · open-world no

    4 inputs
    • text_astring“First text to compare (single-pair mode)”
    • text_bstring“Second text to compare (single-pair mode)”
    • batcharray“Batch mode: array of { text_a, text_b } pairs.”
    • methodsarray“Algorithms to use (default: all three).”
  • rag_relevance_rankon 1 other server

    “Rank an array of text chunks by relevance to a query using TF-IDF scoring.”

    Publisher declares: read-only yes · destructive no · idempotent yes · open-world no

    3 inputs, 2 required
    • querystringrequired“The user query”
    • chunksarrayrequired“Array of text chunks to rank”
    • top_knumber“Return top K results (default: all)”
  • “Compute BM25 relevance score between a query and one or more documents.”

    Publisher declares: read-only yes · destructive no · idempotent yes · open-world no

    5 inputs, 2 required
    • querystringrequired“The search query”
    • documentsarrayrequired“Array of documents to rank”
    • k1number“Term frequency saturation (default: 1.5)”
    • bnumber“Length normalization factor (default: 0.75)”
    • top_knumber“Return top K results (default: all)”
  • build_rag_prompton 1 other server

    “Assemble a complete RAG (Retrieval-Augmented Generation) prompt from retrieved context chunks and a user query.”

    Publisher declares: read-only yes · destructive no · idempotent yes · open-world no

    6 inputs, 2 required
    • querystringrequired“The user question to answer”
    • chunksarrayrequired“Retrieved context chunks with .text (required), .source (optional), .score (optional)”
    • system_instructionstring“Custom system instruction (default: standard RAG grounding instruction)”
    • max_context_tokensnumber“Max tokens for context section (default: 2000)”
    • cite_sourcesboolean“Add [1], [2] citation numbers (default: true)”
    • languagestring“Response language instruction (e.g.”
  • rerank_evaluateon 1 other server

    “Evaluate RAG retrieval quality: rank passages against a query and compute Precision@k / Recall@k plus a PASS/FAIL CI verdict from ground-truth relevance labels.”

    Publisher declares: read-only yes · destructive no · idempotent no · open-world yes

    5 inputs, 2 required
    • querystringrequired“The search query or question to rank against”
    • passagesarrayrequired“Array of passage objects to rank (min 2, max 20)”
    • top_kinteger“k for Precision@k evaluation (default 3)”
    • thresholdnumber“Minimum Precision@k to PASS (0-1, default 0.5)”
    • api_keystring“Your NVIDIA API key (BYOK), used only when no passage carries a score.”
  • “Estimate the token count of a text string using the cl100k_base approximation (~4 chars/token).”

    Publisher declares: read-only yes · destructive no · idempotent yes · open-world no

    1 input, 1 required
    • inputstringrequired“Text to count tokens for”
  • extract_json_from_texton 2 other servers

    “Extract the first valid JSON object or array embedded in chaotic LLM output (surrounded by markdown fences, prose, or explanatory text).”

    Publisher declares: read-only yes · destructive no · idempotent yes · open-world no

    1 input, 1 required
    • inputstringrequired“Raw text (e.g., LLM output) that may contain a JSON object or array”
  • estimate_llm_coston 5 other servers

    “Estimate the API cost in USD for a given model and token counts.”

    Publisher declares: read-only yes · destructive no · idempotent yes · open-world no

    3 inputs, 2 required
    • modelstringrequired“Model name, e.g.”
    • input_tokensnumberrequired“Number of input/prompt tokens”
    • output_tokensnumber“Number of output/completion tokens (default: 0)”
  • token_budget_calculatoron 1 other server

    “Plan token allocation across system prompt, user input, context/RAG chunks, and expected output.”

    Publisher declares: read-only yes · destructive no · idempotent yes · open-world no

    8 inputs, 1 required
    • modelstringrequired“Model name (e.g.”
    • system_prompt_tokensnumber“Token count for system prompt”
    • user_input_tokensnumber“Token count for user message”
    • context_tokensnumber“Token count for RAG context / documents”
    • expected_output_tokensnumber“Expected max output tokens”
    • system_promptstring“Actual system prompt text (will estimate tokens)”
    • user_inputstring“Actual user input text (will estimate tokens)”
    • contextstring“Actual context text (will estimate tokens)”
  • context_window_checkon 1 other server

    “Given an array of message objects [{role, content}], estimate total token usage and check if it fits in the target model's context window.”

    Publisher declares: read-only yes · destructive no · idempotent yes · open-world no

    3 inputs, 2 required
    • messagesarrayrequired“Array of messages (system/user/assistant)”
    • modelstringrequired“Target model name (e.g.”
    • max_output_tokensnumber“Reserved tokens for output (default: 4096)”
  • “Get detailed specs for an AI model: context window, pricing per 1K tokens, knowledge cutoff, provider, multimodal support, reasoning capabilities, and feature list.”

    Publisher declares: read-only yes · destructive no · idempotent yes · open-world no

    1 input, 1 required
    • modelstringrequired“Model name (e.g.”
  • compare_modelson 36 other servers

    “Compare 2-5 AI models side by side: context window, pricing, multimodal, reasoning capabilities, and provider.”

    Publisher declares: read-only yes · destructive no · idempotent yes · open-world no

    2 inputs, 1 required
    • modelsarrayrequired“Array of 2-5 model names (e.g.”
    • use_casestring“Optimize recommendation for this criterion”
  • list_llm_modelson 1 other server

    “List all LLM models available on ia-qa.com with their provider, API endpoint, and capabilities.”

    Publisher declares: read-only yes · destructive no · idempotent yes · open-world no

    1 input
    • providerstring“Filter by provider name (case-insensitive).”
  • llm_generateon 1 other server

    “Generate text using open-source LLM models hosted on Groq (ultra-fast) or HuggingFace Inference (serverless).”

    Publisher declares: read-only yes · destructive no · idempotent no · open-world yes

    5 inputs, 1 required
    • promptstringrequired“The user prompt / instruction to send to the model”
    • modelstring“Model ID (default: "openai/gpt-oss-20b").”
    • systemstring“Optional system prompt to set context or persona”
    • temperaturenumber“Sampling temperature 0.0–1.5 (default: 0.7)”
    • max_tokensnumber“Maximum tokens to generate (default: 2048, max: 4096)”
  • “Give honest usage feedback on an IA-QA MCP tool.”

    Publisher declares: read-only no · destructive no · idempotent no · open-world no

    3 inputs, 2 required
    • tool_namestringrequired“Name of the MCP tool to rate (e.g.”
    • scorenumberrequired“Rating from 1 (poor) to 5 (excellent)”
    • commentstring“Strongly encouraged — explain what you were trying to do and whether the tool got you there.”

Each quoted sentence is the first sentence of the publisher’s own description. The kind of tool and the “changes data” mark are our AI model’s reading of that description, not something we tested: two differently worded runs had to agree, otherwise no label is shown, and nobody has checked them by hand. A tool without the “changes data” mark is described as only reading, searching or calculating, or the two runs did not agree. No tool was called. Read the publisher’s full description before relying on it. “Publisher declares” lists the hints the server itself sends with the tool (MCP annotations: read-only, destructive, idempotent, open-world); they are the publisher's claims, not checked by us. Inputs are the parameters in the tool's own input schema: name, declared type, whether it is required, and the first sentence of its description. Read 2026-10-27.

How well are its tools described?

Features #4 and #5

How clearly this server's own tool descriptions say what a tool does, and how consistent its tool list is. The first part is an AI model's yes/no reading of each description; the second part is counted. We do not turn it into a grade.

Descriptions

AI reading of each description

No AI reading was available for this server's tools (the two runs did not agree, or the listing was not reviewed).

Counted from the listing

Parameters with a description
100% of 163
Tools with a description
100% of 38
Typical description length
392 characters

The tool set

Counted from the listing

Tools
38
Size of the list
about 14,860 tokens for an agent to load (characters ÷ 4)
Naming
38 of 38 names use snake_case

AI reading: easy to mix up

No pair found.

The AI items cover 0 of 38 tools: for a tool where two differently worded runs disagreed, that item is left out. They were not checked by hand, and no tool was called. “Easy to mix up” means two tools whose names or descriptions overlap without saying how they differ; the AI found none. We do not rate whether the tool set is complete or whether side effects are spelled out, because our AI reading of those was not reliable enough.

How do I add it to my client?

Config from the registry entry

From the remote endpoint (Streamable HTTP)

We connected to this URL on 2026-10-27 (a read-only session: no tool was called).

Add to CursorAn install link in the format Cursor documents, holding the Cursor config below.

Claude Desktop or claude.ai
Settings → Connectors → Add custom connector, then paste:
https://www.ia-qa.com/mcp/eval
Cursor · .cursor/mcp.json in a project, or ~/.cursor/mcp.json
{
  "mcpServers": {
    "ia-qa-eval": {
      "url": "https://www.ia-qa.com/mcp/eval"
    }
  }
}
VS Code · .vscode/mcp.json
{
  "servers": {
    "ia-qa-eval": {
      "type": "http",
      "url": "https://www.ia-qa.com/mcp/eval"
    }
  }
}
VS Code (command line) · Bash or zsh terminal (macOS, Linux)
code --add-mcp '{"name":"ia-qa-eval","type":"http","url":"https://www.ia-qa.com/mcp/eval"}'
Claude Code
claude mcp add --transport http ia-qa-eval https://www.ia-qa.com/mcp/eval
Cline · cline_mcp_settings.json (Cline CLI: ~/.cline/data/settings/; in the editor: MCP Servers → Configure → Configure MCP Servers)
{
  "mcpServers": {
    "ia-qa-eval": {
      "type": "streamableHttp",
      "url": "https://www.ia-qa.com/mcp/eval",
      "disabled": false,
      "autoApprove": []
    }
  }
}
Gemini CLI · ~/.gemini/settings.json, or .gemini/settings.json in a project
{
  "mcpServers": {
    "ia-qa-eval": {
      "httpUrl": "https://www.ia-qa.com/mcp/eval"
    }
  }
}
OpenAI Codex · ~/.codex/config.toml, or .codex/config.toml in a trusted project
[mcp_servers.ia-qa-eval]
url = "https://www.ia-qa.com/mcp/eval"
Zed · Zed settings file (command: zed: open settings file)
{
  "context_servers": {
    "ia-qa-eval": {
      "url": "https://www.ia-qa.com/mcp/eval"
    }
  }
}
Try it in the MCP Inspector · runs on your machine, opens in your browser · Node 22.19+
npx @modelcontextprotocol/inspector@2.11.0 --server-url https://www.ia-qa.com/mcp/eval --transport http
  • The server runs on the operator's infrastructure; it may ask you to sign in when you first connect.
  • Zed's docs we read on 2026-10-26 describe remote servers by URL and do not name the transport.
  • The MCP Inspector lists the server's tools, resources and prompts; a tool you call there runs for real.

Built from the server's registry entry with each client's documented format (checked 2026-10-14; the Cursor link and the VS Code command 2026-10-19; the MCP Inspector command 2026-10-21; Cline, Gemini CLI, OpenAI Codex and Zed 2026-10-26). Values in < > are yours to fill in; this page never contains a key. Where the server needs a setting the entry does not declare, it can still fail to start.

Does the registry listing match what we found?

Feature #6

The registry checks an entry when it is published (each new version), and nothing re-checks it on a schedule. A difference below is about the listing, not a judgement of the publisher.

Registry saysWe foundResultSource · date
Remote endpoint www.ia-qa.com/mcp/evalSession openedmatchesour test · 2026-10-27
No credential declared as requiredOpened a session without any credentialmatchesour test · 2026-10-27
Repository github.com/ia-qa-com/mcpOpens publiclymatchesapi.github.com · 2026-10-27

Who made it?

Feature #7 · lineage

Facts about the publisher. We do not turn them into a trust score.

Namespace
io.github.JcJamet · 4 servers
GitHub owner
an organization (ia-qa-com)
Repository
github.com/ia-qa-com/mcp
Stars
0
Repository age
0–30 days
Last push
0–30 days ago
Archived
no

Source: the registry entry and api.github.com · 2026-10-27.

Publish this server? Run these checks against it yourself before release, from your own machine: a server the command starts, or your own server at its URL after a one-time proof that you control it: npx protocolprobe-selftest.

Choosing

Record checks

Public records · not a safety rating

4 of 4 record checks met · 4 do not apply · 1 not checked

  • Not ranked by downloads: a remote server publishes no download figure
  • Not ranked by stars: 0 stars (ranked from 10)
  • MetRegistry entry is active and says how to run itActive, with a package or a remote address.
  • MetSource repository link opensThe linked GitHub repository is public. It belongs to the GitHub account "ia-qa-com", not "jcjamet" from this server's name; the registry does not check that a publisher owns the repository it links, so the repository checks below describe that repository.
  • MetRepository is not archivedNot archived.
  • MetCode pushed to the repository in the 90 days before our checkLast push 0-30 days before our check.
  • Not checkedRepository publishes a security policy (SECURITY.md)We did not read this repository's security policy.
  • Does not applyPackage names its licence with a standard (SPDX) identifierRemote server: it ships no package.
  • Does not applyThe version the registry lists can be installed and is not withdrawnRemote server: it ships no package.
  • Does not applynpm package carries build provenance (attestation)Remote server: it ships no package.
  • Does not applyNo known critical or high advisory in the package or its dependenciesRemote server: it ships no package.

Read from public records only: the registry entry, npm/PyPI, GitHub and advisory databases, checked 2026-10-27. No tool was called. Only “met” and “not met” are counted, so the total differs between servers; a check that does not apply or that we could not run is listed, never counted against it. It is not a safety rating. How each check works · Leaderboards

Common questions about io.github.JcJamet/ia-qa-eval

Answered from the data above

Who publishes io.github.JcJamet/ia-qa-eval?

The registry ties the namespace io.github.JcJamet to the GitHub account JcJamet; only its owner can publish under it. Its linked repository, github.com/ia-qa-com/mcp, belongs to another GitHub account, ia-qa-com. These are facts from the registry and GitHub, not a rating.

Is io.github.JcJamet/ia-qa-eval safe to install?

We do not rate servers as safe or unsafe. 4 of its 4 applicable record checks are met (facts from public records, each listed on this page). What the records show: Its source repository opens publicly. Its repository had a push in the last 90 days. These are facts with their sources on this page, not a safety guarantee, and we did not run its tools.

Does io.github.JcJamet/ia-qa-eval need an API key or sign-in?

It opened a session without any credential on 2026-10-27. The registry entry declares no required credential; no declaration is not a guarantee.

Has io.github.JcJamet/ia-qa-eval been security tested?

Partly. 2 of the 14 checks that apply to it were exercised. We connected and read what the server declares, but did not call its tools: ProtocolProbe calls no server's tools for anything it publishes. This is our choice, not a block by the server. No security verdict is published before verification.

Where is the source code of io.github.JcJamet/ia-qa-eval?

In github.com/ia-qa-com/mcp, which opens publicly.

Found this page useful?

Anonymous · no sign-in

A quick, anonymous reaction — no account, no email. One per kind from your browser. The tally updates when the page is next refreshed, and it is only a rough count, never a safety rating or a measured number of people.

Compare with another server

Side by side: registry entry, our read-only session, the tools and the 18 classification fields. Same values as each page; no score.

Security testing

What did we test, and what did we leave out?

18 checks · features #1, #2

Not probed (we call no server's tools)

We connected and read what the server declares, but did not call its tools: ProtocolProbe calls no server's tools for anything it publishes. This is our choice, not a block by the server. No security score is given; a check we did not run is never counted as passed.

The 18 checks at a glanceour test · 2026-10-27
  1. Inventory: exercised
  2. Hidden instructions: exercised
  3. Real execution: not run · our policy
  4. Secret leak: not run · nothing to check it against
  5. Internal addresses: not run · our policy
  6. Unconfirmed changes: not run · our policy
  7. Bad input: not run · our policy
  8. Model requests: not run · nothing to check it against
  9. Sensitive questions: not run · nothing to check it against
  10. Folder boundary: not run · our policy
  11. Log leaks: not run · nothing to check it against
  12. Hidden content: not run · nothing to check it against
  13. Fake assistant turns: not applicable
  14. Token passthrough: not applicable
  15. Token audience: not applicable
  16. Sign-in redirect: not run · our policy
  17. Consent handling: not testable from outside
  18. Sign-in metadata: not applicable

2 exercised12 not run (reason given)4 not applicable

Each check ends in exactly one state: exercised, not run (with the reason), or not applicable (with the reason). 2 of the 14 checks that apply to it were exercised. We do not publish security-check outcomes for named servers.

Exercised · 2
  • 1Inventory
    tool-list
    Reads the declared tools, resources and prompts.exercised
  • 2Hidden instructions
    description-poisoning
    Looks for hidden instructions in tool descriptions.exercised
Not run, with the reason · 12
  • 3Real execution
    real-execution
    Calls a tool and checks what really happens.This check calls the server's tools. ProtocolProbe calls no server's tools for anything it publishes; an operator can run this check on their own server with our self-test command.not run · our policy
  • 4Secret leak
    canary-leak
    Plants a fake secret and checks whether it leaks.This check needs at least one successful tool call to have something to check, and no tool was called.not run · nothing to check it against
  • 5Internal addresses
    ssrf
    Checks whether a tool can be steered to internal addresses.This check calls the server's tools. ProtocolProbe calls no server's tools for anything it publishes; an operator can run this check on their own server with our self-test command.not run · our policy
  • 6Unconfirmed changes
    write-without-confirmation
    Checks whether tools that change data act without asking.This check calls the server's tools. ProtocolProbe calls no server's tools for anything it publishes; an operator can run this check on their own server with our self-test command.not run · our policy
  • 7Bad input
    error-handling
    Sends bad input and watches how the server answers.This check calls the server's tools. ProtocolProbe calls no server's tools for anything it publishes; an operator can run this check on their own server with our self-test command.not run · our policy
  • 8Model requests
    sampling
    Checks whether the server asks the client's model to act for it.This check needs at least one successful tool call to have something to check, and no tool was called.not run · nothing to check it against
  • 9Sensitive questions
    elicitation-sensitive-data
    Checks whether the server asks users for sensitive data.This check needs at least one successful tool call to have something to check, and no tool was called.not run · nothing to check it against
  • 10Folder boundary
    root-boundary
    Checks whether the server reaches outside the folders it was given.This check calls the server's tools. ProtocolProbe calls no server's tools for anything it publishes; an operator can run this check on their own server with our self-test command.not run · our policy
  • 11Log leaks
    logging-side-channel
    Checks whether log messages carry data they should not.This check needs at least one successful tool call to have something to check, and no tool was called.not run · nothing to check it against
  • 12Hidden content
    audience-hiding
    Checks resources that hide content from the user.This check needs content the server returns, and nothing was read or called.not run · nothing to check it against
  • 16Sign-in redirect
    open-redirect
    Checks the sign-in redirect for abuse.Testing the sign-in redirect means sending probes to the operator's sign-in service, which we do not do.not run · our policy
  • 17Consent handling
    confused-deputy
    Checks consent handling when one service acts for another.Depends on the operator's own consent screen, which differs per server and cannot be tested from outside.not testable from outside
Does not apply to this server · 4
  • 13Fake assistant turns
    fake-assistant-turn
    Checks prompts that pose as the assistant's own words.The server exposes no prompts.not applicable
  • 14Token passthrough
    token-passthrough
    Checks whether the server forwards a user's token to other services.The server opened a session without sign-in, so there is no token flow to check.not applicable
  • 15Token audience
    token-audience-validation
    Checks whether tokens meant for another service are accepted.The server opened a session without sign-in, so there is no token flow to check.not applicable
  • 18Sign-in metadata
    oauth-url-scheme
    Checks the published sign-in metadata for unsafe URLs.No sign-in (OAuth) metadata is published, so there are no sign-in addresses to check.not applicable

Source: our own test, 2026-10-27, mcp-runtime-engine@0.1.0. Which checks count and why follows our published scoring model.

What happened during the test?

Feature #8

The steps in order, as the test record holds them.

  1. 0 msStarted a read-only session with the server's remote endpoint
  2. 691 msConnected after 0 redirects. No credential was sent or needed.
  3. Read the inventory: 38 tools, 0 resources, 0 prompts.
  4. 3,127 msFinished: 2 checks exercised.

Reference

How is it classified?

18 fields

One value per field, each with its source. Fields written by AI models are marked. A field with no value says why.

TopicAI-classified
pending: added in the weekly update
listed 2026-10-27; not classified yet
Pricing modelAI-classified
not checked
no website in the registry entry
Programming language
not stated
GitHub detects no source language in this repository (docs-only or empty)
Hosting type
registry · 2026-10-27
MCP capability
tools
our test · 2026-10-27
Transport
streamable HTTP
registry · 2026-10-27
Required credentials
none declared
registry · no declaration is not a guarantee
Package registry
does not apply
remote-only server: no package is shipped, so there is no package registry
Freshness
0–30 days
registry updatedAt · 2026-10-27
Lifecycle status
registry · 2026-10-27
License class
does not apply
remote-only server: ships no package, so there is nothing to look up in a package registry
Integrity hash
does not apply
remote-only server: ships no package, so there is nothing to look up in a package registry
Signature / provenance
does not apply
remote-only server: ships no package, so there is nothing to look up in a package registry
Dependency advisories
does not apply
ships no package, so there are no dependencies to audit
Popularity
does not apply
remote-only server: ships no package, so there is nothing to look up in a package registry
Publisher signals
owner: an organization · repository age: 0–30 days · stars: 0–9
api.github.com · 2026-10-27
Maintenance
api.github.com · 2026-10-27
Environment
the publisher's infrastructure
where it runs, from the hosting type

“Not stated” means the source did not state it; “does not apply” means it does not apply to this kind of server; “our limit” means our own lookup failed. A linked value opens the directory filtered to the same value.

Cite or correct this page

Sources and corrections

Suggested citation

ProtocolProbe. “io.github.JcJamet/ia-qa-eval: MCP server record.” Data checked 2026-10-27. https://protocolprobe.com/mcp/servers/io.github.JcJamet/ia-qa-eval

Figures are valid for the date shown. Our facts on this page are CC BY 4.0: reuse them with a link and the check date. Quoted text (the publisher’s descriptions, website quotes, tool names) is not ours to license.

As JSON: this record in the API · API documentation.

Badge for your README

ProtocolProbe: 4 of 4 record checks met

[![ProtocolProbe](https://protocolprobe.com/api/v1/badge/io.github.JcJamet/ia-qa-eval)](https://protocolprobe.com/mcp/servers/io.github.JcJamet/ia-qa-eval)

It shows this server's record-check count: facts from public records, no tool called. It is not a security rating or a pass. It links here and updates after each data reload.

Something wrong, or is this yours?

If a fact here is wrong, tell us and we will re-check it. If you operate this server, you can run our checks on it yourself with the free self-test command; we call no server’s tools ourselves for anything shown here.

Write to hello@protocolprobe.com · corrections log · methodology