ContextMCP
Self-hosted MCP server that indexes documentation from various sources and makes it searchable by AI assistants via the Model Context Protocol and REST API.
README
ContextMCP
<p align="left"> <a href="https://discord.gg/bYqAp4ayYh"> <img src="https://img.shields.io/discord/1305511580854779984?label=Join%20Discord&logo=discord" alt="Join Discord" /> </a> <a href="https://twitter.com/dodopayments"> <img src="https://img.shields.io/twitter/follow/dodopayments?label=Follow&style=social" alt="Twitter Follow" /> </a> </p>
Self-hosted MCP server for your documentation. Index your documentation from across the sources and serve it via the Model Context Protocol (MCP) and REST API.
Quick Start
# Scaffold a new project
npx contextmcp init my-docs-mcp
# Follow the prompts, then:
cd my-docs-mcp
npm install
# Configure your API keys
cp .env.example .env
# Edit .env with your PINECONE_API_KEY and OPENAI_API_KEY
# Configure your documentation sources
# Edit config.yaml
# Index your documentation
npm run reindex
# Edit the cloudflare-worker
# Deploy the MCP server
cd cloudflare-worker
npm install
npm run deploy
What is ContextMCP?
ContextMCP creates a searchable knowledge base from your documentation that AI assistants can query via the Model Context Protocol (MCP).
Supported Content Types
| Parser | Content Types | Examples |
|---|---|---|
mdx |
MDX/JSX documentation | Mintlify, Fumadocs, Docusaurus |
markdown |
Plain Markdown files | READMEs, CHANGELOGs |
openapi |
OpenAPI/Swagger specs | API reference docs |
How It Works
- Parse - Extract content from your docs, APIs, and READMEs
- Chunk - Split into semantic chunks optimized for search
- Embed - Generate embeddings using OpenAI
- Store - Upload to Pinecone vector database
- Search - Query via MCP from AI assistants
Repository Structure
contextmcp/
├── packages/
│ ├── cli/ # npx contextmcp (npm package)
│ ├── template/ # Project template (scaffolded to users)
│ └── website/ # contextmcp.ai documentation site
└── deployments/
└── dodopayments/ # Dodo Payments specific deployment
Packages
| Package | Description | Published |
|---|---|---|
packages/cli |
CLI scaffolding tool | ✅ npm: contextmcp |
packages/template |
Project template | (copied by CLI) |
packages/website |
Documentation site | (deployed to Vercel) |
Development
Prerequisites
- Node.js 18+
Setup
# Install all dependencies
npm install
# Development
npm run dev:website # Run website locally
npm run dev:cli # Watch CLI for changes
# Build
npm run build:website # Build website
npm run build:cli # Build CLI
# Type checking
npm run typecheck # Check all packages
Documentation
Visit contextmcp.ai/docs for full documentation.
Contributing
We welcome contributions! Please see CONTRIBUTING.md for guidelines on how to contribute to this project.
License
This project is licensed under the Apache License 2.0 - see the LICENSE file for details.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.