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Tauri Docs MCP Server

A Mastra-based MCP server providing real-time access to official Tauri documentation, featuring search, plugin discovery, and guided workflows for developers.

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Updated
Jan 7, 2026

tauri-docs

Mastra MCP server providing access to Tauri documentation from tauri.app.

Production Deployments

DeploymentURLDescription
Mastra Cloudhttps://tauri-docs.mastra.cloudPrimary choice - Zero cold start, maximum responsiveness, and consistently reliable performance.
  • Append /api/mcp/tauri-docs/sse for the SSE transport (best for editors that keep long-lived connections).
  • Append /api/mcp/tauri-docs/mcp for the HTTP transport (handy for CLIs and quick one-off calls).
  • Mastra Cloud is the recommended primary deployment - it offers zero cold start and maximum responsiveness.

This repository contains a Mastra-based MCP server that provides access to Tauri documentation from tauri.app. Use it in your AI-powered code editor to get instant access to the latest Tauri documentation directly from the official Tauri documentation site.

🎉 Features

  • ✅ MCP server deployed on Mastra Cloud
  • ✅ Four main MCP tools for documentation discovery, page retrieval, and search
  • ✅ Advanced LRU caching with automatic eviction and size limits
  • ✅ Request metrics and health monitoring
  • ✅ TypeScript type safety with Zod schemas
  • ✅ Resources API for static documentation metadata
  • ✅ Guided prompts for common Tauri workflows
  • ✅ Support for all major AI code editors (Cursor, Windsurf, VS Code, Zed, Claude Code, Codex)
  • ✅ HTTP and SSE transport protocols
  • ✅ Real-time web scraping from tauri.app

Editor Setup

Mastra Cloud is the recommended deployment for reliability and responsiveness.

Windsurf

  1. Edit ~/.codeium/windsurf/mcp_config.json.
  2. Add the SSE transport:
{
  "mcpServers": {
    "tauri-docs": {
      "url": "https://tauri-docs.mastra.cloud/api/mcp/tauri-docs/sse",
      "transport": "sse"
    }
  }
}
  1. Save, restart Windsurf, then open mcp.json in Agent mode and click "start".

Zed

  1. Open Zed settings (Cmd/Ctrl + ,).
  2. Edit ~/.config/zed/settings.json and add an entry under context_servers:
{
  "context_servers": {
    "tauri-docs": {
      "source": "custom",
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://tauri-docs.mastra.cloud/api/mcp/tauri-docs/sse"
      ],
      "env": {}
    }
  }
}
  1. Save, restart Zed, and confirm the server shows a green indicator in the Agent panel.

Cursor

  1. Open Cursor Settings (Cmd/Ctrl + ,).
  2. Navigate to "MCP" / "Model Context Protocol" and add a new server configuration.

Mastra Cloud — SSE example:

{
  "tauri-docs": {
    "type": "sse",
    "url": "https://tauri-docs.mastra.cloud/api/mcp/tauri-docs/sse"
  }
}

Mastra Cloud — HTTP example:

{
  "tauri-docs": {
    "type": "http",
    "url": "https://tauri-docs.mastra.cloud/api/mcp/tauri-docs/mcp"
  }
}

VS Code

VS Code users can open the Command Palette (Cmd/Ctrl+Shift+P) and run MCP: Add server to paste either URL.

CLI & Agent Configuration

The same base URLs work across CLIs. Mastra Cloud is the recommended primary deployment for the fastest responses with zero cold start.

Claude Code CLI (Anthropic)

  • Global settings (~/.claude/settings.json):
{
  "mcpServers": {
    "tauri-docs": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://tauri-docs.mastra.cloud/api/mcp/tauri-docs/mcp"
      ]
    }
  }
}
  • Project-scoped override (.mcp.json):
{
  "mcpServers": {
    "tauri-docs": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://tauri-docs.mastra.cloud/api/mcp/tauri-docs/mcp"
      ]
    }
  }
}

Enable project servers with:

{
  "enableAllProjectMcpServers": true
}
  • Command palette alternative:
claude mcp add tauri-docs --url https://tauri-docs.mastra.cloud/api/mcp/tauri-docs/mcp

OpenAI Codex CLI

Register the Mastra Cloud endpoint for codex:

codex mcp add tauri-docs --url https://tauri-docs.mastra.cloud/api/mcp/tauri-docs/sse
codex mcp list

Gemini CLI (Google)

  1. Create or edit ~/.gemini/settings.json:
mkdir -p ~/.gemini
nano ~/.gemini/settings.json
  1. Add a configuration:
{
  "mcpServers": {
    "tauri-docs": {
      "httpUrl": "https://tauri-docs.mastra.cloud/api/mcp/tauri-docs/mcp"
    }
  }
}
  1. Prefer the npx mcp-remote command variant if your CLI version expects a command:
{
  "mcpServers": {
    "tauri-docs": {
      "command": "npx",
      "args": [
        "mcp-remote",
        "https://tauri-docs.mastra.cloud/api/mcp/tauri-docs/mcp"
      ]
    }
  }
}

Verification & Quick Tests

  • claude mcp list
  • codex mcp list
  • npx mcp-remote https://tauri-docs.mastra.cloud/api/mcp/tauri-docs/mcp
  • curl -I https://tauri-docs.mastra.cloud/api/mcp/tauri-docs/mcp
  • curl -N https://tauri-docs.mastra.cloud/api/mcp/tauri-docs/sse

Claude Code may prompt for tool permissions — use /permissions or set allowedTools in ~/.claude.json. Editors that maintain long-lived connections should use the SSE URL; quick scripts can stick with HTTP.

Available Tools

Once installed, your AI assistant will have access to these tools (IDs exactly as exposed by the MCP server):

Core Tools

  1. list_sections — Parse https://tauri.app/llms.txt to list doc sections
  2. get_page — Fetch a Tauri doc page and return cleaned HTML content
  3. search — Keyword search across the llms.txt index
  4. get_plugin — Fetch plugin doc pages by name

Resources (NEW)

Static, auto-updating resources available via the MCP Resources API:

  1. tauri://docs/structure — Complete documentation structure from llms.txt
  2. tauri://platforms — Supported platforms (Windows, macOS, Linux, iOS, Android)
  3. tauri://metrics — Real-time server metrics (requests, cache, health)

Prompts (NEW)

Guided workflows for common tasks:

  1. getting-started — Step-by-step guide to create your first Tauri app
  2. troubleshooting — Common issues and debugging workflows
  3. plugin-setup — Guide to installing and configuring plugins
  4. migration-v1-to-v2 — Guide for migrating from Tauri v1 to v2

Tool response formats (quick reference)

  • list_sections: List of documentation sections from llms.txt with total count
  • get_page: Cleaned HTML documentation for a specific page
  • search: List of matching sections with relevance scores and total count

Example Usage

After installing the MCP server in your editor, you can ask your AI assistant:

  • "Show me the Tauri plugin documentation"
  • "Get the overview of Tauri APIs"
  • "List all sections in Tauri docs"
  • "Search for Tauri configuration options"
  • "What are the methods available in Tauri?"
  • "Find plugins related to web frameworks"
  • "Get documentation for the Tauri window API"
  • "Search for docs with 'security' in the name"
  • "Show me the Tauri CLI documentation"

Local Development

Want to run the MCP server locally or contribute to the project?

Quick start (development smoke-test)

  1. Install dependencies (using your preferred package manager).
# npm
npm install

# or bun
bun install

# or pnpm
pnpm install
  1. Run the development smoke-test (recommended):
# Starts Mastra in dev mode; this repo's smoke-test expects a short run to detect runtime errors
npm run dev

License

This project is licensed under the MIT License - see the LICENSE file for details.

Contributing

We welcome contributions! Please read our Contributing Guidelines and Code of Conduct before getting started.

Contact

For more details:

  • Web scraping services: See src/mastra/lib/ for documentation fetching and parsing implementation

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