mcp-colab-gpu (mio-github/mcp-colab-gpu) is an MCP server listed on the M8ven Trust Index. It scores 41 out of 100, grade D. It declares 10 tools. No publisher has claimed this listing.

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D
Caution
41/100

mcp-colab-gpu

Enables MCP-compatible AI assistants to run Python code on Google Colab GPU/TPU runtimes, supporting accelerators like T4, A100, H100, with background execution and Google Drive integration.

→ mio-github/mcp-colab-gpu· listed on glama

Caution. Specific findings reduced this grade. They are listed on the page. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.

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Who stands behind it

mio-github

Source: Glama

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Install from

Glamanot scored here

The grade above is for the source repository. Registries can serve a different version, so we mark the ones we were not able to read.

⏳ This MCP is queued for scoring. Check back in a few minutes.
// key findings
🚨
Reads files from sensitive locations
Touches: ~/.config/colab-exec
// environment variables
To run this server yourself, you supply these values. They go in your own MCP client configuration and stay on your machine. The secret label means the value is sensitive, not that the server mishandles it.
configMCP_BG_CLEANUP_DELAY
configMCP_DRIVE_TOKEN_MAX_AGE
// quality suggestions

All four hints declared on every tool

10/10 tools missing one or more hints — colab_execute (missing: idempotentHint, openWorldHint); colab_execute_file (missing: idempotentHint, openWorldHint); colab_execute_notebook (missing: idempotentHint, openWorldHint), +7 more. OpenAI's directory rejects tools where any of the four hints are missing or non-boolean.

For every tool, set all four hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) to explicit true/false values that match the handler’s actual behaviour.

Tool inputs are validated

7/10 tool handlers declare input schemas (70%)

Declare an inputSchema with zod/joi/yup on every tool definition.

Tests exist

No test files found

Add tests that exercise each declared tool.

No access to sensitive paths

Reads sensitive paths: ~/.config/colab-exec

Remove reads of sensitive system paths. If you genuinely need them, document why in the README.

Claim the listing to review these findings one by one and send us a correction where you disagree, straight to the team. Claiming also means we tell you when the grade moves, and reach you first if we find anything urgent.

// full audit trail
The findings above are the summary. The full trail, every check we ran, each deduction, the network hosts observed and the dependency advisories, goes to verified publishers, along with an alert whenever a new one lands. Verified publishers can also review each finding and dispute it in one click. Publisher corrections have sharpened several of our checks this month, because the maintainer knows the codebase better than any scanner.
// improvement guidance — verified publishers only
We have 4 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
[![M8ven Verified](https://m8ven.ai/badge/mcp/mio-github/mcp-colab-gpu?variant=verified)](https://m8ven.ai/mcp/mio-github/mcp-colab-gpu)
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commit: f00acc2de858f60f5a4918edac15af568230c920
code hash: 2601499661686a9e3a5a221dc51989776fe5ad5b369466aea6885123db12f1c4
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