tauri-plugin-mcp

tauri-plugin-mcp

Enables AI assistants to automate and test Tauri desktop applications through the Model Context Protocol. It provides tools for app management, UI interaction, and state inspection across multiple platforms without requiring CDP dependencies.

Category
Visit Server

README

tauri-plugin-mcp

Cross-platform Tauri test automation plugin via MCP (Model Context Protocol).

Enables AI assistants like Claude to interact with your Tauri desktop app for testing and automation.

Features

  • Cross-platform: Windows (Named Pipes) + macOS/Linux (Unix Sockets)
  • No CDP dependency: Works on all WebView backends including macOS WKWebView
  • MCP integration: Direct integration with Claude Code and other MCP clients

Prerequisites

  • Node.js >= 18
  • Tauri v2.x
  • pnpm (recommended) or npm
  • Rust with cargo

Quick Start

  1. [ ] Add Rust plugin to src-tauri/Cargo.toml
  2. [ ] Install npm package: pnpm add github:DaveDev42/tauri-plugin-mcp#main
  3. [ ] Register plugin in src-tauri/src/lib.rs
  4. [ ] Add mcp:default permission
  5. [ ] Initialize bridge in main.tsx
  6. [ ] Create .mcp.json for Claude Code

Installation

1. Rust Plugin (src-tauri/Cargo.toml)

[dependencies]
tauri-plugin-mcp = { git = "https://github.com/DaveDev42/tauri-plugin-mcp" }

2. Frontend API (package.json)

pnpm add github:DaveDev42/tauri-plugin-mcp#main

3. MCP Server

The MCP server is included in the package at:

node_modules/tauri-plugin-mcp/packages/tauri-mcp/dist/index.js

Setup

1. Register the plugin (src-tauri/src/lib.rs)

pub fn run() {
    tauri::Builder::default()
        .plugin(tauri_plugin_mcp::init())
        .run(tauri::generate_context!())
        .expect("error while running tauri application");
}

2. Add permissions

Option A: In tauri.conf.json or config/*.json5 (recommended)

{
  "security": {
    "capabilities": [{
      "identifier": "main-capability",
      "windows": ["main"],
      "permissions": ["core:default", "mcp:default"]
    }]
  }
}

Option B: Separate file (src-tauri/capabilities/default.json)

{
  "$schema": "../gen/schemas/desktop-schema.json",
  "identifier": "default",
  "windows": ["main"],
  "permissions": ["core:default", "mcp:default"]
}

3. Initialize the bridge (main.tsx)

// Initialize MCP bridge for E2E testing (dev mode only)
if (import.meta.env.DEV) {
  import('tauri-plugin-mcp').then(({ initMcpBridge }) => {
    initMcpBridge().catch(err => {
      console.warn('[MCP] Bridge initialization failed:', err);
    });
  });
}

MCP Server Configuration

Add to .mcp.json in your project root:

{
  "mcpServers": {
    "tauri-mcp": {
      "command": "node",
      "args": ["node_modules/tauri-plugin-mcp/packages/tauri-mcp/dist/index.js"],
      "env": {
        "TAURI_PROJECT_ROOT": "."
      }
    }
  }
}

Available Tools

Tool Parameters Description
app_status - Check if app is running
launch_app wait_for_ready?: boolean, timeout_secs?: number, features?: string[] Launch Tauri app via pnpm tauri dev
stop_app - Stop the app
snapshot - Get accessibility tree (returns ref numbers)
click ref?: number, selector?: string Click element by ref or CSS selector
fill ref?: number, selector?: string, value: string Fill input field
press_key key: string Press keyboard key
navigate url: string Navigate to URL
screenshot - Take screenshot (uses html2canvas)
evaluate_script script: string Execute custom JavaScript
get_console_logs - Get console logs
get_network_logs - Get network logs

Using features parameter

To launch with Cargo features:

launch_app({ features: ["my_feature"] })

This runs: pnpm tauri dev --features my_feature

Usage Example

Typical testing workflow:

1. launch_app({ timeout_secs: 120 })
2. snapshot()           # Get element refs
3. click({ ref: 5 })    # Click button by ref
4. fill({ selector: "input[name='email']", value: "test@example.com" })
5. screenshot()         # Verify result
6. stop_app()

How It Works

Claude Code <-> MCP Server <-> Socket <-> Tauri Plugin <-> JS Bridge <-> Your App
  1. Rust Plugin creates IPC server (Unix socket or Windows named pipe)
  2. MCP Server connects to IPC and exposes tools to Claude
  3. JS Bridge (initMcpBridge()) enables DOM operations in WebView

Socket Paths

  • Unix: {project_root}/.tauri-mcp.sock
  • Windows: \\.\pipe\tauri-mcp-{hash} (hash derived from project path)

Troubleshooting

"MCP bridge not initialized"

The JS bridge isn't running. Check:

  • initMcpBridge() is called in your frontend code
  • App is running in dev mode (import.meta.env.DEV)
  • Check browser console for initialization errors

Socket connection failed

  • Ensure the app is running (launch_app first)
  • On Windows, check pipe path in logs: [tauri-plugin-mcp] full_path: \\.\pipe\tauri-mcp-XXXXX
  • On Unix, check if .tauri-mcp.sock exists in project root

App launch timeout

  • Increase timeout_secs (default: 60)
  • Check if pnpm tauri dev works manually
  • Look for build errors in terminal output

snapshot returns empty

  • Wait for app to fully load (use wait_for_ready: true)
  • Check if bridge initialized (look for [MCP] logs in console)

License

MIT OR Apache-2.0

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
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