Docs Vector MCP

Enables AI agents to semantically search GitHub repository documentation by automatically fetching, vectorizing, and indexing content into an Upstash Vector database. It provides a standard MCP interface for agents to retrieve relevant documentation snippets through natural language queries.

→ MeteorGeminy/docs-vector-mcp · listed on glama

Install from

Glama

M8ven verifies MCPs across every public registry — install directly from whichever one you prefer.

// key findings

🚨

Known vulnerabilities in dependencies: 1 critical, 5 high

Affects packages this MCP installs at runtime. Upgrade or remove the affected dependency.

🔐

You'll be asked for 3 credentials: GITHUB_TOKEN, OPENAI_API_KEY, UPSTASH_VECTOR_RESTAR_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.

🔐 secretGITHUB_TOKEN— your_github_token

🔐 secretOPENAI_API_KEY— your_openai_api_key

🔐 secretUPSTASH_VECTOR_RESTAR_TOKEN— your_upstash_vector_token

configUPSTASH_VECTOR_RESTAR_URL— your_upstash_vector_url

// 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 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 Score](https://m8ven.ai/badge/mcp/meteorgeminy-docs-vector-mcp-19nfbq)](https://m8ven.ai/mcp/meteorgeminy-docs-vector-mcp-19nfbq)

commit: e4c680deb9833b454be2ad679b5bf15cf286dfbf

code hash: 186c2ccd32761f3466518621bd1f4ac1404feb30ebb7779bdb4b8e979eb7d60a

verified: 4/11/2026, 2:26:47 PM

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