# tauri-docs
Mastra MCP server providing access to Tauri documentation from tauri.app.
## Production Deployments
| Deployment | URL | Description |
| ------------ | ------------------------------- | ------------------------------------------------------------------------------------------------ |
| Mastra Cloud | https://tauri-docs.mastra.cloud | Primary 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.
## π Features
- β
MCP server deployed on Mastra Cloud
- β
Four main MCP tools for documentation discovery, page retrieval, and search
- β
Advanced LRU caching with automatic eviction and size limits
- β
Request metrics and health monitoring
- β
TypeScript type safety with Zod schemas
- β
Resources API for static documentation metadata
- β
Guided prompts for common Tauri workflows
- β
Support for all major AI code editors (Cursor, Windsurf, VS Code, Zed, Claude Code, Codex)
- β
HTTP and SSE transport protocols
- β
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:
```json
{
"mcpServers": {
"tauri-docs": {
"url": "https://tauri-docs.mastra.cloud/api/mcp/tauri-docs/sse",
"transport": "sse"
}
}
}
```
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`:
```json
{
"context_servers": {
"tauri-docs": {
"source": "custom",
"command": "npx",
"args": [
"-y",
"mcp-remote",
"https://tauri-docs.mastra.cloud/api/mcp/tauri-docs/sse"
],
"env": {}
}
}
}
```
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 β SSE example:
```json
{
"tauri-docs": {
"type": "sse",
"url": "https://tauri-docs.mastra.cloud/api/mcp/tauri-docs/sse"
}
}
```
Mastra Cloud β HTTP example:
```json
{
"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`):
```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`):
```json
{
"mcpServers": {
"tauri-docs": {
"command": "npx",
"args": [
"-y",
"mcp-remote",
"https://tauri-docs.mastra.cloud/api/mcp/tauri-docs/mcp"
]
}
}
}
```
Enable project servers with:
```json
{
"enableAllProjectMcpServers": true
}
```
- Command palette alternative:
```bash
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:
```bash
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`:
```bash
mkdir -p ~/.gemini
nano ~/.gemini/settings.json
```
2. Add a configuration:
```json
{
"mcpServers": {
"tauri-docs": {
"httpUrl": "https://tauri-docs.mastra.cloud/api/mcp/tauri-docs/mcp"
}
}
}
```
3. Prefer the `npx mcp-remote` command variant if your CLI version expects a command:
```json
{
"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 β 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` β Parse `https://tauri.app/llms.txt` to list doc sections
2. `get_page` β Fetch a Tauri doc page and return cleaned HTML content
3. `search` β Keyword search across the llms.txt index
4. `get_plugin` β Fetch plugin doc pages by name
### Resources (NEW)
Static, auto-updating resources available via the MCP Resources API:
1. `tauri://docs/structure` β Complete documentation structure from llms.txt
2. `tauri://platforms` β Supported platforms (Windows, macOS, Linux, iOS, Android)
3. `tauri://metrics` β Real-time server metrics (requests, cache, health)
### Prompts (NEW)
Guided workflows for common tasks:
1. `getting-started` β Step-by-step guide to create your first Tauri app
2. `troubleshooting` β Common issues and debugging workflows
3. `plugin-setup` β Guide to installing and configuring plugins
4. `migration-v1-to-v2` β 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).
```bash
# npm
npm install
# or bun
bun install
# or pnpm
pnpm install
```
2. Run the development smoke-test (recommended):
```bash
# 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](LICENSE) file for details.
## Contributing
We welcome contributions! Please read our [Contributing Guidelines](CONTRIBUTING.md) and [Code of Conduct](CODE_OF_CONDUCT.md) before getting started.
## Contact
- Issues & Support: [GitHub Issues](https://github.com/Michael-Obele/tauri-docs/issues)
- Maintainer: Michael Obele
For more details:
- Web scraping services: See `src/mastra/lib/` for documentation fetching and parsing implementation