No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by hypothesi · MCP Server · ★ 294
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is mcp-server-tauri safe to install? View the security audit →
MCP Server Tauri Give your AI assistant superpowers for Tauri development Documentation · Getting Started · Available Tools A Model Context Protocol (MCP) server that enables AI assistants like Claude, Cursor, and Windsurf to build, test, and debug Tauri® v2 applications. Screenshots, DOM state, and console logs from your running app give the AI rich context to understand what's happening—and tools to interact with it. ✨ Features List iOS simulators
| Stars | 294 |
| Forks | 38 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 70.7928868900257/100 |
| Open Issues | 17 |
| Last Updated | 2026-08-28 |
| Created | 2025-11-27 |
| Platforms | cli, gemini, mcp, node |
| Est. Tokens | ~16k |
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mcp-server-tauri is A Model Context Protocol (MCP) server and plugin for Tauri v2 development. It is categorized as a MCP Server with 294 GitHub stars.
mcp-server-tauri is primarily written in TypeScript. It covers topics such as automation, cli, gemini-cli-extension.
You can find installation instructions and usage details in the mcp-server-tauri GitHub repository at github.com/hypothesi/mcp-server-tauri. The project has 294 stars and 38 forks, indicating an active community.
mcp-server-tauri is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to mcp-server-tauri on Agent Skills Hub include OpenContext, zapier-mcp, flutter-skill. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: