SkillFlow

★ 1

from rafsilva85

AI skills marketplace MCP server - search, discover, and install AI agent skills from SkillFlow.builders marketplace

🔥🔥✓ VerifiedFreeAdvanced setup

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.

Why SkillFlow?

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:

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

Transports

This 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`

Available Tools

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)

Examples

Once connected, ask your AI agent:

"Search for skills that help with SEO content"
"What are the trending skills on SkillFlow?"
"Get details about the blog-seo-writer skill"
"List all skill categories"
"Show me the platform stats"
"Find skills for lead generation"

Architecture

┌─────────────┐     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.

Listed On

Development

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

Copy & paste — that's it

npx skillflow-mcp-server

Quick Start (stdio — Local)

One-liner (npx)

npx skillflow-mcp-server

Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "skillflow": {
      "command": "npx",
      "args": ["-y", "skillflow-mcp-server"]
    }
  }
}

Cursor

Add to .cursor/mcp.json:

{
  "mcpServers": {
    "skillflow": {
      "command": "npx",
      "args": ["-y", "skillflow-mcp-server"]
    }
  }
}

Windsurf / VS Code / Other MCP Clients

{
  "mcpServers": {
    "skillflow": {
      "command": "npx",
      "args": ["-y", "skillflow-mcp-server"]
    }
  }
}

Global Installation

npm install -g skillflow-mcp-server
skillflow-mcp

Quick Start (Streamable HTTP — Remote)

Self-hosted

npm install -g skillflow-mcp-server
PORT=3000 skillflow-mcp-http

Docker

docker build -t skillflow-mcp .
docker run -p 3000:3000 skillflow-mcp

Smithery.ai

Available at: smithery.ai/server/skillflow-mcp-server

HTTP API Endpoints

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)