lilygo-doc-mcp

lilygo-doc-mcp

Provides tools to search and retrieve LILYGO hardware documentation, including product listings, full specs, and sectioned guides, with live fetching from GitHub.

Category
Visit Server

README

lilygo-doc-mcp

MCP server for LILYGO product documentation. Exposes LILYGO hardware docs as structured tools for LLM clients via the Model Context Protocol.

Documentation is fetched live from Xinyuan-LilyGO/documentation on GitHub and cached in memory for 10 minutes.

Usage

With npx (recommended)

{
  "mcpServers": {
    "lilygo-docs": {
      "type": "stdio",
      "command": "npx",
      "args": ["-y", "lilygo-doc-mcp"]
    }
  }
}

Install globally

npm install -g lilygo-doc-mcp
{
  "mcpServers": {
    "lilygo-docs": {
      "type": "stdio",
      "command": "lilygo-doc-mcp"
    }
  }
}

Tools

Tool Description
list_products List all products, filter by series / tags / keyword
get_product Get full docs or a specific section (overview, quickstart, features, parameters, pins, faq)
search_products Full-text search across all product docs with ranked excerpts
get_product_specs Extract structured specs: key features, parameter table, pin tables

Environment variables

Variable Default Description
GITHUB_RAW_BASE https://raw.githubusercontent.com/Xinyuan-LilyGO/documentation/master/en/products Base URL for fetching markdown files

Run locally

npm install
npm run build
npm start

License

MIT

Recommended Servers

playwright-mcp

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.

Official
Featured
TypeScript
Magic Component Platform (MCP)

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.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

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.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

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.

Official
Featured
TypeScript
Kagi MCP Server

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.

Official
Featured
Python
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Exa Search

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.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured