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MCP server · registry snapshot 2026-10-23 · last tested 2026-10-23

io.github.amgallego8/colab-mcp

Unofficial MCP server for Google Colab: runtimes, code, long jobs, files and notebooks. — the publisher's description

7 of 8 record checks metRead-only · tools listed 2026-10-23Topic: developer-tools · AI-classifiedversion 0.1.0PythonApache-2.0standard input/output42 tools

Summary

io.github.amgallego8/colab-mcp is a local MCP server listed in the official MCP registry at version 0.1.0. On 2026-10-23 ProtocolProbe started its published package in an isolated sandbox in read-only mode and read its inventory: 42 tools, 0 resources and 0 prompts.

Record checks

7 of 8 record checks met · 1 does not apply

  • 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 met: Repository publishes a security policy (SECURITY.md)
  • met: Package names its licence with a standard (SPDX) identifier
  • met: The version the registry lists can be installed and is not withdrawn
  • not applicable: npm package carries build provenance (attestation)
  • met: No known critical or high advisory in the package or its dependencies
  • #14,745 of 15,112 packages by monthly downloads, tied with 367 others
  • Not ranked by stars: 4 stars (ranked from 10)

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

Key facts

Runs
local package
Transport
standard input/output
Package
PyPI · listed version current
License
Apache-2.0
Dependencies
no known high or critical advisories
Repository
public
Tools
42
Described as changing data
25 of 42 toolsAI-classified
Mainly works on
files and code on the machine it runs on; cloud accounts, servers or DevOps toolsAI-classified
Topic
developer-toolsAI-classified
Last tested
2026-10-23

Add to your client

Worth knowing before you connect it

  • 25 tools are described as changing something (colab_new, colab_ensure_session, colab_restart_kernel, …): our AI model's reading of the descriptions, not something we tested. We did not call them.

Each line comes from a section below, with its source and date.

How fresh this is

Live-tested
yes, a real session (not a text-only review)
Last tested
2026-10-23
Mode
read-only (no tool calls)
Latest version
0.1.0, published 2026-10-16 (registry, as of the 2026-10-23 snapshot)
First listed version
2026-10-16 (earliest version still in the registry; older removed versions would be earlier)
Registry data
snapshot 2026-10-23
Package and repository
checked 2026-10-23
Engine
mcp-runtime-engine@0.1.0 · sdk@1.32.0

Changes since the last refresh

New in the registry: not in the list of 2026-10-04, listed on 2026-10-23 with version 0.1.0 (published 2026-10-16).

Source: the official MCP Registry list on 2026-10-04 and on 2026-10-23.

What it is

What does this server offer?

Observed inventory
42tools
0resources
0prompts

What it mainly works on, as our AI model read its tool descriptions: files and code on the machine it runs on; cloud accounts, servers or DevOps tools.

25 of 42 tools are described as changing something (creating, editing, deleting, sending or running). For 2 the reading was uncertain, so no mark is shown.

  • colab_sessionsreads or searches

    “List active Colab runtimes (sessions).”

    Takes no inputs.

  • colab_statusreads or searches

    “Show hardware, machine shape and state of a session (or the only active one).”

    1 input
    • sessionstring or null
  • colab_usagereads or searches

    “Show the account's compute-unit balance and current burn rate.”

    Takes no inputs.

  • colab_newdescribed as changing data

    “Create a runtime.”

    4 inputs
    • sessionstring or null
    • gpustring or null
    • tpustring or null
    • high_memboolean
  • colab_ensure_sessiondescribed as changing data

    “Make sure a named session exists: reuse it if `colab status` finds it, otherwise create it.”

    4 inputs, 1 required
    • sessionstringrequired
    • gpustring or null
    • tpustring or null
    • high_memboolean
  • colab_restart_kerneldescribed as changing data

    “Restart the Jupyter kernel of a session: clears all Python variables but keeps the VM and its files.”

    1 input
    • sessionstring or null
  • colab_urlreads or searches

    “Print the browser URL that attaches the Colab UI to this session (does not open a browser).”

    1 input
    • sessionstring or null
  • colab_runtime_inforeads or searches

    “Report the VM's Python version, CPUs, RAM, free disk and GPU (if any).”

    1 input
    • sessionstring or null
  • colab_stopdescribed as changing data

    “Stop a session and release the VM (stops consuming compute units).”

    1 input
    • sessionstring or null
  • colab_installdescribed as changing data

    “Install Python packages on the runtime (uses uv, falls back to pip).”

    2 inputs, 1 required
    • packagesarrayrequired
    • sessionstring or null
  • colab_execruns code or commandsdescribed as changing data

    “Run Python on the runtime; variables persist between calls (same kernel).”

    6 inputs
    • codestring or null
    • filestring or null
    • sessionstring or null
    • timeoutnumber
    • secretsarray or null
    • plot_pathstring or null
  • colab_runruns code or commandsdescribed as changing data

    “One-shot job: allocate a fresh VM, run a local script (inside the working directory) with `args`, then release the VM (or keep it with keep=true).”

    6 inputs, 1 required
    • scriptstringrequired
    • argsarray or null
    • gpustring or null
    • high_memboolean
    • keepboolean
    • timeoutnumber
Show 30 more tools
  • colab_job_startruns code or commandsdescribed as changing data

    “Start a shell command in the background on the VM (e.g.”

    3 inputs, 1 required
    • commandstringrequired
    • namestring or null
    • sessionstring or null
  • colab_job_statusreads or searches

    “State of a background job: running, finished (with exit code), cancelled, or lost.”

    2 inputs, 1 required
    • job_idstringrequired
    • sessionstring or null
  • colab_job_logsreads or searches

    “Last `tail` lines of a background job's combined stdout/stderr, plus its state.”

    3 inputs, 1 required
    • job_idstringrequired
    • tailinteger
    • sessionstring or null
  • colab_job_canceldescribed as changing data

    “Terminate a running background job (SIGTERM to its process group).”

    2 inputs, 1 required
    • job_idstringrequired
    • sessionstring or null
  • colab_job_listreads or searches

    “List all background jobs started on this VM.”

    1 input
    • sessionstring or null
  • colab_notebook_createcreates or changes datadescribed as changing data

    “Create a local .ipynb inside the working directory.”

    3 inputs, 1 required
    • pathstringrequired
    • cellsarray or null
    • overwriteboolean
  • colab_notebook_listreads or searches

    “List .ipynb files under a directory of the working directory.”

    1 input
    • directorystring
  • colab_notebook_readreads or searches

    “Show a notebook's cells (index, id, type, source) and, optionally, their saved outputs.”

    4 inputs, 1 required
    • pathstringrequired
    • include_outputsboolean
    • startinteger
    • endinteger or null
  • colab_notebook_add_cellcreates or changes datadescribed as changing data

    “Insert a cell.”

    5 inputs, 2 required
    • pathstringrequired
    • sourcestringrequired
    • cell_typestring
    • positioninteger or null
    • afterstring or null
  • colab_notebook_edit_cellcreates or changes datadescribed as changing data

    “Replace a cell's source (and optionally its type).”

    4 inputs, 3 required
    • pathstringrequired
    • cellstringrequired
    • sourcestringrequired
    • cell_typestring or null
  • colab_notebook_delete_celldeletesdescribed as changing data

    “Delete one cell by id or index.”

    2 inputs, 2 required
    • pathstringrequired
    • cellstringrequired
  • colab_notebook_move_cellcreates or changes datadescribed as changing data

    “Move a cell to a new index.”

    3 inputs, 3 required
    • pathstringrequired
    • cellstringrequired
    • to_indexintegerrequired
  • colab_notebook_clear_outputscreates or changes datadescribed as changing data

    “Clear saved outputs of one cell, or of all cells.”

    2 inputs, 1 required
    • pathstringrequired
    • cellstring or null
  • colab_notebook_run_cellruns code or commandsdescribed as changing data

    “Run ONE code cell on the runtime (state persists between cells) and store its output in the notebook.”

    4 inputs, 2 required
    • pathstringrequired
    • cellstringrequired
    • sessionstring or null
    • timeoutnumber
  • colab_notebook_run_allruns code or commandsdescribed as changing data

    “Run every code cell in order (from index `start`), storing outputs in the notebook.”

    5 inputs, 1 required
    • pathstringrequired
    • sessionstring or null
    • timeout_per_cellnumber
    • stop_on_errorboolean
    • startinteger
  • colab_notebook_to_scriptcalculates or convertsdescribed as changing data

    “Convert a notebook to a .py script (markdown becomes comments; lines starting with !”

    2 inputs, 1 required
    • pathstringrequired
    • out_pathstring or null
  • colab_notebook_deletedeletesdescribed as changing data

    “Delete a local notebook by moving it to .colab-mcp-trash/ inside the working directory (recoverable, never a hard delete).”

    1 input, 1 required
    • pathstringrequired
  • colab_uploadcreates or changes datadescribed as changing data

    “Upload one local file (inside the working directory) to the VM, e.g.”

    3 inputs, 2 required
    • local_pathstringrequired
    • remote_pathstringrequired
    • sessionstring or null
  • colab_downloadreads or searches

    “Download one file from the VM into the working directory.”

    3 inputs, 2 required
    • remote_pathstringrequired
    • local_pathstringrequired
    • sessionstring or null
  • colab_upload_dircreates or changes datadescribed as changing data

    “Upload a whole local folder (inside the working directory) to the VM as one zip, extracted at `remote_dir`.”

    3 inputs, 2 required
    • local_dirstringrequired
    • remote_dirstringrequired
    • sessionstring or null
  • colab_download_dirreads or searches

    “Download a whole VM folder into `local_dir` (inside the working directory) via one zip.”

    3 inputs, 2 required
    • remote_dirstringrequired
    • local_dirstringrequired
    • sessionstring or null
  • colab_lsreads or searches

    “List files in a VM directory (default /content).”

    2 inputs
    • pathstring
    • sessionstring or null
  • colab_rmdeletesdescribed as changing data

    “Delete ONE file on the VM (not on the user's computer).”

    2 inputs, 1 required
    • pathstringrequired
    • sessionstring or null
  • colab_drive_statusreads or searches

    “Is Google Drive mounted on this session?”

    1 input
    • sessionstring or null
  • colab_drive_mount_startcontrols a browser or desktopdescribed as changing data

    “Step 1 of mounting Google Drive on a session: opens Google's approval page in the user's browser.”

    2 inputs, 1 required
    • sessionstringrequired
    • show_linkboolean
  • colab_drive_mount_finishdescribed as changing data

    “Step 2 of mounting Google Drive: call it AFTER the user says they clicked Allow.”

    2 inputs, 1 required
    • sessionstringrequired
    • cancelboolean
  • colab_drive_project_dircreates or changes datadescribed as changing data

    “Create (if missing) and return a project folder on the mounted Drive: /content/drive/MyDrive/<projects folder>/<name>.”

    2 inputs, 1 required
    • namestringrequired
    • sessionstring or null
  • colab_logreads or searches

    “Last `lines` entries of a session's history (event_type e.g.”

    3 inputs
    • sessionstring or null
    • linesinteger
    • event_typestring or null
  • colab_local_footprint

    “Show how much this tool keeps on your computer (temp files, plots, local trash), free disk and the working-directory budget.”

    Takes no inputs.

  • colab_local_cleanup

    “Delete everything this tool keeps only temporarily on your computer: transfer zips, saved plots and old local trash.”

    Takes no inputs.

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. 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 2026-10-23.

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

Says what the tool does
100% of 40 tools
Says what it returns
49% of 39 tools
States limits, defaults or errors
18% of 33 tools
Says when to use it
9% of 35 tools
Items covered per tool
1.9 of 4 on average

Counted from the listing

Parameters with a description
0% of 100
Tools with a description
100% of 42
Typical description length
139 characters

The tool set

Counted from the listing

Tools
42
Size of the list
about 6,262 tokens for an agent to load (characters ÷ 4)
Naming
42 of 42 names use snake_case

AI reading: easy to mix up

No pair found.

The AI items cover 40 of 42 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, comparing tools within groups of 40. 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 PyPI package colab-cli-mcp

Our sandbox started this package on 2026-10-23 (a read-only session: no tool was called).

Add to CursorAn install link in the format Cursor documents, holding the Cursor config below. The command runs the publisher’s code on your machine.

Claude Desktop · claude_desktop_config.json (Settings → Developer → Edit Config)
{
  "mcpServers": {
    "colab-mcp": {
      "command": "uvx",
      "args": [
        "colab-cli-mcp==0.1.0"
      ]
    }
  }
}
Cursor · .cursor/mcp.json in a project, or ~/.cursor/mcp.json
{
  "mcpServers": {
    "colab-mcp": {
      "command": "uvx",
      "args": [
        "colab-cli-mcp==0.1.0"
      ]
    }
  }
}
VS Code · .vscode/mcp.json
{
  "servers": {
    "colab-mcp": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "colab-cli-mcp==0.1.0"
      ]
    }
  }
}
VS Code (command line) · Bash or zsh terminal (macOS, Linux)
code --add-mcp '{"name":"colab-mcp","type":"stdio","command":"uvx","args":["colab-cli-mcp==0.1.0"]}'
Claude Code
claude mcp add --transport stdio colab-mcp -- uvx colab-cli-mcp==0.1.0
Try it in the MCP Inspector · runs on your machine, opens in your browser · Node 22.19+
npx @modelcontextprotocol/inspector@2.11.0 -- uvx colab-cli-mcp==0.1.0
  • Optional settings the entry also lists (left out above): COLAB_MCP_WORKDIR, COLAB_MCP_DRIVE.
  • This runs the publisher's code on your machine (uvx). Read its README first.
  • 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). 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.

Can it be installed, and is it up to date?

Version pin · advisories

Listed version

Registry lists
0.1.0
Latest stable
0.1.0
Status
current
Withdrawn
no

Source: pypi.org · 2026-10-23. About the version the registry lists; a manual install may resolve to a different one.

Dependency advisories

critical0high0moderate0low0

Counted in the full dependency tree as resolved on 2026-10-23 (OSV.dev). Bars share one scale. The package itself has no known vulnerability (OSV.dev).

Integrity, provenance, license

Integrity
sha256-8affc46c641d04aa1…
License
Apache-2.0

Source: the package registry · 2026-10-23.

Usage

Downloads
0 in the last month

Source: pypistats.org · 2026-10-23.

Does the registry listing match what we found?

Feature #6

The registry verifies a package once, when it is published, and does not re-check it. A difference below is about the listing, not a judgement of the publisher.

Registry saysWe foundResultSource · date
Published package can be startedStarted and answeredmatchesour test · 2026-10-23
Version 0.1.0 on PyPIExists and can be installedmatchesPyPI · 2026-10-23
Repository github.com/amgallego8/Colab-MCPOpens publiclymatchesapi.github.com · 2026-10-23

Who made it?

Feature #7 · lineage

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

Namespace
io.github.amgallego8
GitHub owner
a personal account (amgallego8)
Repository
github.com/amgallego8/Colab-MCP
Stars
4
Repository age
0–30 days
Last push
0–30 days ago
Archived
no
Security policy
none found (we looked for SECURITY.md in the repository and in its owner’s .github repository)

Source: the registry entry and api.github.com · 2026-10-23; security policy read from GitHub · 2026-10-23.

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

7 of 8 record checks met · 1 does not apply

  • #14,745 of 15,112 packages by monthly downloads, tied with 367 others
  • Not ranked by stars: 4 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.
  • 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 metRepository publishes a security policy (SECURITY.md)No SECURITY.md in the places GitHub reads it from.
  • MetPackage names its licence with a standard (SPDX) identifierApache-2.0
  • MetThe version the registry lists can be installed and is not withdrawnThe listed version exists and is current.
  • Does not applynpm package carries build provenance (attestation)PyPI packages have no npm-style attestation.
  • MetNo known critical or high advisory in the package or its dependenciesNone known in the package or its dependency tree.

Read from public records only: the registry entry, npm/PyPI, GitHub and advisory databases, checked 2026-10-23. 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.amgallego8/colab-mcp

Answered from the data above

Is io.github.amgallego8/colab-mcp safe to install?

We do not rate servers as safe or unsafe. 7 of its 8 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. The listed version is the latest stable release. The package itself has no known vulnerability (OSV.dev). Its full dependency tree has no known advisory. 25 of its tools describe changing data (our AI model's reading of the descriptions). These are facts with their sources on this page, not a safety guarantee, and we did not run its tools.

Has io.github.amgallego8/colab-mcp been security tested?

Partly. 2 of the 12 checks that apply to it were exercised. We started the package in an isolated sandbox and read what it declares, but this test round was read-only, so its tools were not called. No security verdict is published before verification.

What can io.github.amgallego8/colab-mcp do?

It lists 42 tools. In our AI model's reading of their descriptions (two runs had to agree, nobody checked it by hand), they include tools that read or search, create or change data, delete, run code or commands, control a browser or desktop and calculate or convert. We did not call any tool, so this describes the text, not the behaviour.

Can io.github.amgallego8/colab-mcp change or delete data?

25 of its tools say in their description that they create, edit, delete, send or run something (our AI model's reading). We did not call any tool, so we cannot say what actually happens.

Does io.github.amgallego8/colab-mcp publish a security policy?

We found no SECURITY.md in its repository (root, .github/ or docs/) or in its owner's .github repository.

Is the listed version current?

Yes. The registry lists 0.1.0, the latest stable release on PyPI.

Where is the source code of io.github.amgallego8/colab-mcp?

In github.com/amgallego8/Colab-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.

Similar servers

Same topic · AI-read

Active servers whose topic is also “developer-tools” and that have at least one tool of the same kind; most kinds in common first, then most GitHub stars. The topic and the tool kinds are an AI model's reading of the publishers' descriptions, not checked by hand. Similar is not a recommendation.

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 (read-only run)

We started the package in an isolated sandbox and read what it declares, but this test round was read-only, so its tools were not called. No security score is given; a check we did not run is never counted as passed.

The 18 checks at a glanceour test · 2026-10-23
  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 applicable
  17. Consent handling: not applicable
  18. Sign-in metadata: not applicable

2 exercised10 not run (reason given)6 not applicable

Each check ends in exactly one state: exercised, not run (with the reason), or not applicable (with the reason). 2 of the 12 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 · 10
  • 3Real execution
    real-execution
    Calls a tool and checks what really happens.This check calls the package's tools. This test round was read-only, so no tool was called; tools can act on outside services with the publisher's or a user's account.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 package's tools. This test round was read-only, so no tool was called; tools can act on outside services with the publisher's or a user's account.not run · our policy
  • 6Unconfirmed changes
    write-without-confirmation
    Checks whether tools that change data act without asking.This check calls the package's tools. This test round was read-only, so no tool was called; tools can act on outside services with the publisher's or a user's account.not run · our policy
  • 7Bad input
    error-handling
    Sends bad input and watches how the server answers.This check calls the package's tools. This test round was read-only, so no tool was called; tools can act on outside services with the publisher's or a user's account.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 package's tools. This test round was read-only, so no tool was called; tools can act on outside services with the publisher's or a user's account.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
Does not apply to this server · 6
  • 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 runs locally over standard input/output, so there is no sign-in flow to check.not applicable
  • 15Token audience
    token-audience-validation
    Checks whether tokens meant for another service are accepted.The server runs locally over standard input/output, so there is no sign-in flow to check.not applicable
  • 16Sign-in redirect
    open-redirect
    Checks the sign-in redirect for abuse.The server runs locally over standard input/output, so there is no sign-in flow to check.not applicable
  • 17Consent handling
    confused-deputy
    Checks consent handling when one service acts for another.The server runs locally over standard input/output, so there is no sign-in flow to check.not applicable
  • 18Sign-in metadata
    oauth-url-scheme
    Checks the published sign-in metadata for unsafe URLs.The server runs locally over standard input/output, so there is no sign-in flow to check.not applicable

Source: our own test in an isolated sandbox, 2026-10-23, 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 the published package in an isolated sandbox (read-only mode)
  2. 3,376 msConnected after 0 redirects.
  3. Read the inventory: 42 tools, 0 resources, 0 prompts.
  4. 3,909 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
AI-classified (Gemini + Claude agreed) · 2026-10-23
Pricing modelAI-classified
not checked
no website in the registry entry
Programming language
api.github.com · 2026-10-23
Hosting type
registry · 2026-10-23
MCP capability
experimental, prompts, resources, tools
our test · 2026-10-23
Transport
standard input/output
registry · 2026-10-23
Required credentials
none declared
registry · no declaration is not a guarantee
Package registry
registry · 2026-10-23
Freshness
0–30 days
registry updatedAt · 2026-10-23
Lifecycle status
registry · 2026-10-23
License class
package registry · 2026-10-23
Integrity hash
declared (sha256)
package registry · 2026-10-23
Signature / provenance
does not apply
PyPI publishes no registry signature or attestation equivalent to npm dist.signatures
Dependency advisories
none known
OSV.dev · 2026-10-23
Popularity
0 downloads a month
package registry · 2026-10-23
Publisher signals
owner: a personal account · repository age: 0–30 days · stars: 0–9
api.github.com · 2026-10-23
Maintenance
api.github.com · 2026-10-23
Environment
your machine
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.amgallego8/colab-mcp: MCP server record.” Data checked 2026-10-23. https://protocolprobe.com/mcp/servers/io.github.amgallego8/colab-mcp

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: 7 of 8 record checks met

[![ProtocolProbe](https://protocolprobe.com/api/v1/badge/io.github.amgallego8/colab-mcp)](https://protocolprobe.com/mcp/servers/io.github.amgallego8/colab-mcp)

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.

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