RTFD (Read The F*****g Docs)

Item: RTFD (Read The F*****g Docs)
Rating: 69
Author: M8ven

Provides LLMs with real-time access to up-to-date documentation from PyPI, npm, crates.io, GoDocs, DockerHub, GitHub, and GCP, preventing outdated code generation and API hallucinations.

→ aserper/RTFD · listed on glama

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// key findings

✅

No credential exfiltration, no sensitive file access, no obfuscation

Static analysis found nothing flowing your secrets to unexpected places.

🔐

You'll be asked for 1 credential: GITHUB_TOKEN

These are read from process.env at runtime. Make sure you trust where they’ll be sent.

// required environment variables

This server reads these from process.env. You'll be asked to provide them before it can run.

configRTFD_CHUNK_TOKENS— 2000 Maximum tokens per response chunk. Set to 0 to disable chunking. Prevents context overflow from large documentation.

configVERIFIED_BY_PYPI— PyPI Verification: Optional security feature () to ensure packages are verified by PyPI before fetching documentation.

configRTFD_FETCH— claude mcp add rtfd -- command="rtfd" --env GITHUB_AUTH=token --env GITHUB_TOKEN=your_token_here --env =true

configRTFD_TRACK_TOKENS— false Enable/disable token usage statistics in tool response metadata.

configRTFD_CACHE_ENABLED— true Enable/disable caching. Set to false to disable.

configRTFD_CACHE_TTL— 604800 Cache time-to-live in seconds (default: 1 week).

configGITHUB_AUTH— e =token \

🔐 secretGITHUB_TOKEN— e =your_token_here \

// full audit trail

The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.

// improvement guidance — verified publishers only

We have 6 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 Score](https://m8ven.ai/badge/mcp/aserper-rtfd-kokbuz)](https://m8ven.ai/mcp/aserper-rtfd-kokbuz)

commit: 599b8195fd24c7ae69a5138bfe937272b125c059

code hash: 6befc7c9981da9a55e36ca42412ea1352e4b7ccf71e9cb5bc37975238c50f7c7

verified: 6/18/2026, 11:48:59 AM

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