TanStack MCP Server

TanStack MCP Server

Wraps the TanStack CLI to provide programmatic access to documentation, library listings, and project scaffolding for the TanStack ecosystem. It enables AI assistants to search documentation and create new TanStack applications through the Model Context Protocol.

Category
Visit Server

README

@g7aro/tanstack-mcp

MCP server that wraps the TanStack CLI to provide programmatic access to TanStack documentation, libraries, add-ons, ecosystem partners, and project scaffolding.

Built as a drop-in replacement after TanStack removed the built-in MCP server from @tanstack/cli.

Tools

Tool Description
listTanStackAddOns List all available TanStack Start add-ons for a given framework
getAddOnDetails Get detailed info about a specific add-on (files, deps, options, routes)
createTanStackApplication Scaffold a new TanStack Start app with add-ons and options
tanstack_list_libraries List all TanStack libraries with descriptions and links
tanstack_doc Fetch the full content of a TanStack documentation page
tanstack_search_docs Search across TanStack documentation
tanstack_ecosystem List TanStack ecosystem partners with optional filters

Quick Install

Auto-detect installed AI clients and register the MCP server in one command:

npx @g7aro/tanstack-mcp --install

This will detect and configure all supported clients on your machine.

Options

npx @g7aro/tanstack-mcp --install              # Interactive — pick which clients
npx @g7aro/tanstack-mcp --install --all         # Install into all detected clients
npx @g7aro/tanstack-mcp --install cursor codex   # Install into specific clients only
npx @g7aro/tanstack-mcp --uninstall              # Remove from all clients

Supported clients

Client Detection Config method
Claude Code claude CLI claude mcp add
Codex (OpenAI) codex CLI codex mcp add
Cursor ~/.cursor/ dir ~/.cursor/mcp.json
Windsurf ~/.windsurf/ dir ~/.windsurf/mcp.json
Trae ~/.trae/ dir ~/.trae/mcp.json
Antigravity ~/.gemini/antigravity/ dir mcp_config.json
OpenCode ~/.config/opencode/ dir opencode.json
Zed ~/.config/zed/settings.json settings.json
VS Code (Copilot) settings.json / code CLI settings.json

Manual Setup

If you prefer to configure manually, add to your client's MCP config:

{
  "mcpServers": {
    "tanstack": {
      "command": "npx",
      "args": ["-y", "@g7aro/tanstack-mcp"]
    }
  }
}

Tools

Tool Description
listTanStackAddOns List all available TanStack Start add-ons for a given framework
getAddOnDetails Get detailed info about a specific add-on (files, deps, options, routes)
createTanStackApplication Scaffold a new TanStack Start app with add-ons and options
tanstack_list_libraries List all TanStack libraries with descriptions and links
tanstack_doc Fetch the full content of a TanStack documentation page
tanstack_search_docs Search across TanStack documentation
tanstack_ecosystem List TanStack ecosystem partners with optional filters

Prerequisites

  • Node.js >= 18
  • npx available in PATH (ships with npm)

How it works

Each MCP tool maps to a @tanstack/cli command with --json output:

listTanStackAddOns       -> tanstack create --list-add-ons --framework <f> --json
getAddOnDetails          -> tanstack create --addon-details <id> --framework <f> --json
createTanStackApplication -> tanstack create <name> --framework <f> --add-ons <a,b> ...
tanstack_list_libraries  -> tanstack libraries --json
tanstack_doc             -> tanstack doc <library> <path> --json
tanstack_search_docs     -> tanstack search-docs "<query>" --json
tanstack_ecosystem       -> tanstack ecosystem --json

The server spawns npx @tanstack/cli for each invocation, parses the JSON output, and returns it through the MCP protocol over stdio.

Development

npm install
npm run build   # compile TypeScript -> dist/
npm start       # run the server (stdio)
npm run dev     # watch mode

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
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
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
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
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