Tauri MCP Server

Tauri MCP MCP server is a locally run integration for AI assistants that speak the Model Context Protocol. A Model Context Protocol (MCP) server for testing and interacting with Tauri v2 applications. This tool enables AI assistants to better understand, debug, and interact with Tauri apps during.

What the assistant can call

Once Tauri MCP is connected, these are the calls the assistant has available:

• launch_app — Launch Tauri applications with arguments
• stop_app — Gracefully stop running apps
• get_app_logs — Capture stdout/stderr output
• monitor_resources — Track CPU, memory, and disk usage
• take_screenshot — Capture app window screenshots
• get_window_info — Get window dimensions, position, and state
• send_keyboard_input — Simulate keyboard input
• send_mouse_click — Simulate mouse clicks
• execute_js — Execute JavaScript in the webview
• get_devtools_info — Get DevTools connection info
• list_ipc_handlers — List registered Tauri commands
• call_ipc_command — Call Tauri IPC commands

Setting it up

Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client.

Configuration and credentials

You will need one environment variable: TAURI_MCP_LOG_LEVEL. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.

• Rust toolchain installed - Node.js 18+ (for the Node.js wrapper) - zip command available in PATH

Choosing this one

Plenty of knowledge and memory servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. Tauri MCP's toolset — launch_app, stop_app, get_app_logs and 11 more — is a fair guide to whether it matches your workflow. It is maintained by dirvine; worth a glance at recent repository activity before you build anything load-bearing on it.

We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.

Before you rely on it

• It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
• With 14 tools registered it takes up a noticeable share of the context window; turn it off in projects that never touch Tauri MCP.
• MCP clients confirm each tool call by default. Leave that on until you have watched what the tauri mcp mcp server does with a few real requests.