SkillFlow

AI agents are the new users. Instead of browsing a website, agents can nowprogrammatically search, discover, and evaluate skillsfrom SkillFlow using the MCP protocol.

"It's 2026. Build. For. Agents." — Andrej Karpathy

- Live API— real-time data from the SkillFlow backend, not hardcoded
- Curated skillsacross 6 business categories with performance metrics
- Trust metrics— success rates, run counts, ratings, and speed benchmarks
- Zero config— no API keys, no environment variables, justnpx
- Works everywhere— Claude Desktop, Cursor, Windsurf, Copilot, Gemini CLI, and any MCP-compatible agent

Add to yourclaude_desktop_config.json:

┌─────────────┐ MCP Protocol ┌──────────────────┐ tRPC API ┌──────────────┐ │ AI Agent │ ◄──────────────────► │ SkillFlow MCP │ ◄──────────────► │ SkillFlow │ │ (Claude, │ stdio / HTTP+SSE │ Server │ (live data) │ Backend │ │ Cursor...) │ └──────────────────┘ └──────────────┘ └─────────────┘

The MCP server acts as a bridge between AI coding agents and the SkillFlow marketplace. It fetches real-time data from the SkillFlow backend API with 5-minute caching for optimal performance.

git clone https://github.com/rafsilva85/skillflow-mcp-server.git cd skillflow-mcp-server npm install npm run build npm start

Contributions welcome! Please open an issue or submit a PR.

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