Search, discover, and install 500+ AI agent skills from the SkillFlow marketplace.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
π‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Connect AI coding agents to the SkillFlow AI skills marketplace. Live data. Zero config. One command.
A Model Context Protocol (MCP) server that connects AI coding agents to the SkillFlow marketplace β a curated AI skills marketplace with trust metrics and performance data.
AI agents are the new users. Instead of browsing a website, agents can now programmatically search, discover, and evaluate skills from SkillFlow using the MCP protocol.
"It's 2026. Build. For. Agents." β Andrej Karpathy
Key benefits:
npxThis server supports two transports:
| Transport | Use Case | Command |
|---|---|---|
| stdio | Local use with Claude Desktop, Cursor, etc. | npx skillflow-mcp-server |
| Streamable HTTP | Remote access via Smithery.ai, cloud agents | skillflow-mcp-http or npm start:http |
Add to your claude_desktop_config.json:
Add to .cursor/mcp.json:
| Tool | Description |
|---|---|
search_skills | Search for skills by keyword, category, or tag |
get_skill_details | Get detailed info about a specific skill including pricing and performance |
list_categories | List all skill categories |
get_trending_skills | Get currently trending skills |
get_platform_stats | Get overall platform statistics (skills, runs, creators, revenue) |
Once connected, ask your AI agent:
Available at: smithery.ai/server/skillflow-mcp-server
| Method | Path | Description |
|---|---|---|
POST | /mcp | Send JSON-RPC requests (initialize, tools/list, tools/call) |
GET | /mcp | Open SSE stream for server notifications |
DELETE | /mcp | Terminate a session |
GET | /health | Health check (includes live skill count) |
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.
Contributions welcome! Please open an issue or submit a PR.
MIT β Rafael Silva
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