Search, discover, and install 500+ AI agent skills from the SkillFlow marketplace.
Runs on your machine from its package; the steps are below.
At most: only reads or looks up information.
Odel charges nothing per call. The publisher may charge for its own service.
Runs locally over stdio
This server isn't hosted — your MCP client launches it from a package registry. Use one of the commands below, or drop the config into your client (e.g. Claude Desktop).
Run
npx -y skillflow-mcp-server
MCP client config
{
"mcpServers": {
"skillflow": {
"command": "npx",
"args": [
"-y",
"skillflow-mcp-server"
]
}
}
}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 — 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." — 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 |
npx skillflow-mcp-server
Add to your claude_desktop_config.json:
{
"mcpServers": {
"skillflow": {
"command": "npx",
"args": ["-y", "skillflow-mcp-server"]
}
}
}
Add to .cursor/mcp.json:
{
"mcpServers": {
"skillflow": {
"command": "npx",
"args": ["-y", "skillflow-mcp-server"]
}
}
}
{
"mcpServers": {
"skillflow": {
"command": "npx",
"args": ["-y", "skillflow-mcp-server"]
}
}
}
npm install -g skillflow-mcp-server
skillflow-mcp
| 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:
npm install -g skillflow-mcp-server
PORT=3000 skillflow-mcp-http
docker build -t skillflow-mcp .
docker run -p 3000:3000 skillflow-mcp
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) |
┌─────────────┐ 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.
MIT — Rafael Silva