# Tauri MCP Server

> Use this tool when you need to interact with and debug Tauri desktop applications, enabling AI agents to manage windows, simulate user input, and perform storage operations. It provides a comprehensive interface for testing and debugging, accepting inputs such as window and storage commands, and outputting debug information and application state. Ideal for use cases requiring automated testing, debugging, and quality assurance of Tauri desktop applications.

Canonical page: https://skillsregistry.net/skills/delorenj-tauri-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/delorenj-tauri-mcp-server

## Description

Enables AI agents to interact with and debug Tauri desktop applications, providing tools for window management, user input simulation, and storage operations.

## Trust

- **Trust score (0–1):** 0.58
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/sbeuaiiydy)
- **Repository:** <https://github.com/delorenj/tauri-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "delorenj-tauri-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/delorenj-tauri-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/delorenj-tauri-mcp-server/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt