tauri-docs

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

Production Deployments

• 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:

3. 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:

3. 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:

Mastra Cloud — HTTP example:

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):

• Project-scoped override (.mcp.json):

Enable project servers with:

• Command palette alternative:

OpenAI Codex CLI

Register the Mastra Cloud endpoint for codex:

Gemini CLI (Google)

1. Create or edit ~/.gemini/settings.json:

2. Add a configuration:

3. Prefer the npx mcp-remote command variant if your CLI version expects a command:

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).

2. Run the development smoke-test (recommended):

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

• Issues & Support: GitHub Issues

• Maintainer: Michael Obele

For more details:

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