ContextMCP

★ 58

from dodopayments

A self-hosted MCP server that indexes documentation from various sources and serves it to AI Agents with semantic search.

🔥🔥🔥🔥✓ VerifiedFreeAdvanced setup

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ContextMCP

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.

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 or Gemini
Store - Upload to Pinecone vector database
Search - Query via MCP from AI assistants

Ecosystem

Add a chat UI with ContextChat

ContextMCP serves retrieval; pair it with ContextChat to give your docs a drop-in, embeddable "Ask AI" widget. ContextChat is a single Cloudflare Worker that queries your ContextMCP /search endpoint and streams answers with inline citations — add it to any site or docs page with one <script> tag.

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.

Copy & paste — that's it

# 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 an embedding provider key
# (OPENAI_API_KEY for provider: openai, or GEMINI_API_KEY for provider: gemini)

# 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

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 an embedding provider key
# (OPENAI_API_KEY for provider: openai, or GEMINI_API_KEY for provider: gemini)

# 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