Docs MCP Server

# docs-mcp-server MCP Server A MCP server for fetching and searching 3rd party package documentation. ## ✨ Key Features - 🌐 **Versatile Scraping:**

Local serverstdioTypeScript

What is the Docs MCP Server?

docs-mcp-server MCP Server A MCP server for fetching and searching 3rd party package documentation. ✨ Key Features - 🌐 Versatile Scraping: Fetch

What the server does

This project provides a Model Context Protocol (MCP) server designed to scrape, process, index, and search documentation for various software libraries and packages. It fetches content from specified URLs, splits it into meaningful chunks using semantic splitting techniques, generates vector embeddings using OpenAI, and stores the data in an SQLite database. The server utilizes sqlite-vec for efficient vector similarity search and FTS5 for full-text search capabilities, combining them for hybrid search results. It supports versioning, allowing documentation for different library versions (including unversioned

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Maintainer setup documentation.

Configuration

VariableDescriptionRequired
OPENAI_API_KEYCredential the server authenticates with.Yes
MODEL_IDConfiguration value read at startup.Optional
OPENAI_ORG_IDConfiguration value read at startup.Optional
GOOGLE_API_KEYCredential the server authenticates with.Yes
AWS_ACCESS_KEY_IDCredential the server authenticates with.Yes
AWS_SECRET_ACCESS_KEYCredential the server authenticates with.Yes
BEDROCK_AWS_REGIONConfiguration value read at startup.Optional
AZURE_OPENAI_API_KEYCredential the server authenticates with.Yes

Frequently asked questions

No. The current version has removed all embedding functionality. Only full‑text search and chat/completions are provided.