myst-mcp

myst-mcp

Enables searching any MyST Markdown or Jupyter Book documentation site that publishes a search index, without crawling or embeddings.

Category
Visit Server

README

myst-mcp

myst-mcp is an MCP server for searching any MyST Markdown or Jupyter Book documentation site that publishes myst.search.json. It consumes the static search index that MyST already builds, so it does not crawl pages, host a backend, or require embeddings.

MyST is the document engine and Jupyter Book is a distribution of it. The myst.search.json index is produced at the MyST engine layer, which means this package works across book-theme, article-theme, custom themes, Jupyter Book, and plain mystmd sites.

Usage

npx -y myst-mcp <site-url-or-local-path> ["Human description of these docs"]

Examples:

npx -y myst-mcp https://your-myst-site.example "Example MyST docs"
{
  "mcpServers": {
    "my-docs": {
      "command": "npx",
      "args": ["-y", "myst-mcp", "https://your-myst-site.example", "Example MyST docs"]
    }
  }
}

Claude Code:

claude mcp add my-docs -- npx -y myst-mcp https://your-myst-site.example "Example MyST docs"

Tools

search_docs

Input:

{ "query": "installation", "limit": 10 }

Returns search hits with title, section, breadcrumb, absolute URL, snippet, type, and score.

fetch_page

Input:

{ "url": "/getting-started/" }

Returns the page title and LLM-friendly Markdown reconstructed from all matching search index records in document order. Full URLs and anchor URLs are accepted.

Supported sources

  • Remote MyST sites, loaded from <base>/myst.search.json
  • Local MyST site build directories containing myst.search.json
  • A direct local path to myst.search.json

The server requires MystSearchIndex version "1" and fails clearly if the file is missing, invalid, or from an unsupported future version.

Development

pnpm install
pnpm build
pnpm test

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
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

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
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