Connects your AI agent directly to the SkillFlow marketplace API and lets you search, filter, and evaluate 500+ AI skills with real-time performance metrics. Exposes five tools: search by keyword or category, pull detailed skill info including pricing and success rates, list trending skills, browse categories, and check platform-wide stats. Live data with 5-minute caching, zero config required. Works over stdio for local Claude Desktop and Cursor setups, or run it as an HTTP server for remote access through Smithery or custom deployments. Reach for this when you want your agent to programmatically discover and assess AI skills instead of manually browsing a marketplace.
Public tool metadata for what this MCP can expose to an agent.
search_skillsSearch for AI agent skills on SkillFlow marketplace by keyword, category, or tag3 paramsSearch for AI agent skills on SkillFlow marketplace by keyword, category, or tag
querystringcategorystringmin_trust_scorenumberget_skill_detailsGet detailed information about a specific skill1 paramsGet detailed information about a specific skill
skill_idstringlist_categoriesList all available skill categories on SkillFlowList all available skill categories on SkillFlow
No parameter schema in public metadata yet.
get_trending_skillsGet currently trending skills on SkillFlow marketplace1 paramsGet currently trending skills on SkillFlow marketplace
limitnumberget_publisher_infoGet information about a skill publisher1 paramsGet information about a skill publisher
publisher_idstringConnect 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
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