docs-mcp-server MCP Server

@xinlei413

Repository

Basic information

About docs-mcp-server MCP Server

No overview available yet

#docs-mcp-server#documentation #mcp-server

docs-mcp-server MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "DOC-Server-MCP": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "\\"
      ]
    }
  }
}

docs-mcp-server MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is docs-mcp-server MCP Server?

docs-mcp-server MCP Server is a Model Context Protocol server that fetches, indexes, and searches third-party package documentation. It scrapes content from websites, GitHub, npm, PyPI, or local files, and stores it in a SQLite database with full-text search. It also integrates with OpenRouter API for large language model chat/completions.

How to use docs-mcp-server MCP Server?

Run the server via Docker (recommended) or npx, configured in your MCP client settings (e.g., Claude, Cline, Roo). Set the required OPENAI_API_KEY environment variable and optionally configure embedding models. The server exposes MCP tools for scraping, searching, and managing documentation. Use the CLI to manage the index directly.

Key features of docs-mcp-server MCP Server

Versatile scraping: websites, GitHub, npm, PyPI, or local files.
Intelligent semantic content splitting for indexing.
SQLite with FTS5 for robust full-text search.
Asynchronous job handling for scraping and indexing tasks.
OpenRouter API integration supporting many large language models.
Simple deployment via Docker or npx.

Use cases of docs-mcp-server MCP Server

Indexing documentation for libraries across multiple versions.
Performing hybrid search (vector + full-text) across package docs.
Using an AI assistant to query documentation from indexed packages.
Automating documentation updates with background job management.
Serving as a documentation retrieval tool within MCP‑enabled applications.

Frequently asked questions

How does docs-mcp-server MCP Server index documentation?

It scrapes content from specified URLs, splits it into meaningful chunks, and stores it in a SQLite database using FTS5 for full-text search. Vector embeddings are currently disabled.

What embedding providers are supported?

OpenAI, Google Vertex AI, Google Generative AI (Gemini), AWS Bedrock, and Azure OpenAI are supported via environment variables. However, embedding functionality is currently disabled and will throw errors.

Can I run docs-mcp-server MCP Server locally without Docker?

Yes, use npx: `npx -y --package=@arabold/docs-mcp-server docs-server`. Node.js must be installed, and the same method should be used for the CLI.

What environment variables are required?

`OPENAI_API_KEY` is required. Additional variables depend on the embedding provider (e.g., `AZURE_OPENAI_API_KEY`, `AWS_ACCESS_KEY_ID`, etc.). For OpenRouter chat, set `OPENAI_API_BASE` to the OpenRouter endpoint.

Does docs-mcp-server MCP Server support versioned documentation?

Yes, it supports storing and querying documentation for different library versions, including unversioned content, with distinct search capabilities.

Comments

More Memory & Knowledge MCP servers

The Cloud

Teka

The Cloud is the AI-native workspace that gives every AI — Claude, ChatGPT, Gemini, and other Frontier & Free or Local models — shared memory and real agents. Not cloud computing: thecloud.so is one workspace where your

server-noonien - shared memory MCP

sequico

Shared, serverless, conflict-free memory for AI agents: a multi-machine drop-in for the MCP memory knowledge graph.

Agimem

Persistent memory for AI agents. Hosted MCP server with capsule-scoped key/value storage, tags, TTL expiration, bulk ops, and RBAC.

Codebase Memory

DeusData

High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 162 languages, sub-ms queries, 99% fewer tokens. Single static binary, zero dependencies.

46.7K

M1K3

Round-Tower

Local AI agent for your Mac with a built-in MCP server: 18 tools for your notes and PDFs, a temporal memory graph, an on-device LLM and a neural voice. No account, no telemetry. No data centers required.