Which integrations are available for this server?

Allows querying of any Mintlify-powered documentation site to ask technical questions, retrieve code examples, and get explanations through an AI-powered assistant. Enables querying of Resend's documentation to answer technical questions and retrieve code snippets directly through the Mintlify assistant interface. Enables querying of Upstash's documentation to answer technical questions and retrieve code snippets directly through the Mintlify assistant interface. Enables querying of Vercel's documentation to answer technical questions and retrieve code snippets directly through the Mintlify assistant interface.

How do I use mintlify-mcp?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@mintlify-mcp How do I send an email with an attachment using Resend?" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

Docmole

npm version License Bun MCP

Docmole is an MCP server that lets you query any documentation site from AI assistants like Claude, Cursor, or any MCP-compatible client. The mole digs through docs so you don't have to.

Features

🔍 Universal docs support — works with any documentation site
🏠 Self-hosted RAG — LanceDB vectors + OpenAI embeddings, no Python needed
⚡ Zero-setup mode — instant access to Mintlify-powered sites
🧠 Multi-turn conversations — remembers context across questions
🔗 WebFetch compatible — links converted to absolute URLs
🔌 MCP native — works with Claude, Cursor, and any MCP client

Coming soon

🦙 Ollama support — fully local mode, no API keys needed
📄 Generic HTML extraction — support for non-Mintlify documentation sites
🔄 Incremental updates — only re-index changed pages

Installation

To use Docmole, run it directly with bunx (no install needed):

bunx docmole --help

Or install globally:

bun install -g docmole

Works on macOS, Linux and Windows. Requires Bun runtime.

Getting started

Local RAG Mode (any docs site)

Index and query any documentation site. Requires OPENAI_API_KEY.

# One-time setup — discovers pages and builds vector index bunx docmole setup --url https://docs.example.com --id my-docs # Start the MCP server bunx docmole serve --project my-docs

Add to your MCP client:

{ "mcpServers": { "my-docs": { "command": "bunx", "args": ["docmole", "serve", "--project", "my-docs"] } } }

Mintlify Mode (zero setup)

For sites with Mintlify AI Assistant — no API key needed:

bunx docmole -p agno-v2

{ "mcpServers": { "agno-docs": { "command": "bunx", "args": ["docmole", "-p", "agno-v2"] } } }

CLI

Docmole has a built-in CLI for all operations:

# Mintlify mode (proxy to Mintlify API) docmole -p <project-id> # Local RAG mode docmole setup --url <docs-url> --id <project-id> docmole serve --project <project-id> docmole list docmole stop --project <project-id>

Run docmole --help for all options.

How it works

┌─────────────┐ ┌─────────────┐ ┌──────────────────────┐ │ MCP Client │────▶│ Docmole │────▶│ Embedded: LanceDB │ │ (Claude, │◀────│ MCP Server │◀────│ Mintlify: API proxy │ │ Cursor...) │ └─────────────┘ └──────────────────────┘ └─────────────┘

Local RAG Mode: Crawls documentation, generates embeddings with OpenAI, stores in LanceDB. Hybrid search combines semantic and keyword matching.

Mintlify Mode: Proxies requests to Mintlify's AI Assistant API. Zero setup, instant results.

Known Mintlify Project IDs

Documentation	Project ID
Agno	`agno-v2`
Resend	`resend`
Mintlify	`mintlify`
Vercel	`vercel`
Upstash	`upstash`
Plain	`plain`

Find more: Open DevTools → Network tab → use the AI assistant → look for leaves.mintlify.com/api/assistant/{project-id}/message

Configuration

Environment Variable	Default	Description
`OPENAI_API_KEY`	—	Required for local RAG mode
`DOCMOLE_DATA_DIR`	`~/.docmole`	Data directory for projects

Project structure

~/.docmole/ ├── projects/ │ └── <project-id>/ │ ├── config.yaml # Project configuration │ └── lancedb/ # Vector database └── global.yaml # Global settings

Documentation

See AGENT.md for detailed documentation including:

Architecture details
Backend implementations
Enterprise deployment guides

Contributing

PRs welcome! See the contributing guide for details.

Acknowledgments

Mintlify for amazing documentation tooling
Anthropic for Claude and the MCP protocol
LanceDB for the vector database

License

The Docmole codebase is under MIT license.

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security - not tested

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quality - not tested

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