by Flux159 · MCP Server · ★ 139
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
npx mcp-chat --server "npx -y @modelcontextprotocol/server-filesystem /Users/$USER/Desktop"
npx mcp-chat --config "~/Library/Application Support/Claude/claude_desktop_config.json"Taken from the project's README on GitHub.
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 139 |
| Forks | 24 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 75/100 |
| Open Issues | 3 |
| Last Updated | 2026-11-04 |
| Created | 2025-03-18 |
| Platforms | mcp, node |
| Est. Tokens | ~16k |
mcp-chat 🌐 Language English | 简体中文 | 繁體中文 | 日本語 | 한국어 | हिन्दी | ไทย | Français | Deutsch | Español | Italiano | Русский | <a href="https://openaitx.github.io/view.html?user=Flux159&project=mcp-chat&lang=
Looking for a mcp-chat alternative? If you're comparing mcp-chat with other mcp server tools, these 4 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
The open context engine for AI agents support 15+ data sources. Built on Rust and Apache DataFusion.
🎨 Vibe Design System - Official monday.com UI resources for application development in React.js
Shell and coding agent on mcp clients
Overture is an open-source, locally running web interface delivered as an MCP (Model Context Protocol) server
Explore other popular mcp server tools:
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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: