mcpField
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skillflow

skillflow

Local
github.com/rafsilva85AI & Agents2Updated 31w ago

About skillflow

skillflow is an MCP server that lets AI coding agents search and assess skills in the SkillFlow marketplace. It returns live marketplace data, including trust and performance metrics.

Key features

  1. 01Search skills by keyword, category, or tag
  2. 02Retrieve skill pricing and performance details
  3. 03Browse categories and trending skills
  4. 04View marketplace statistics
  5. 05stdio and Streamable HTTP transports

Use cases

  1. 01Find skills for SEO content or lead generation
  2. 02Check a skill’s ratings and performance before use
  3. 03Review trending skills and marketplace statistics

MCP support

Exposes marketplace search, skill details, category, trend, and statistics tools to MCP clients. Supports local stdio and remote Streamable HTTP connections.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"rafsilva85-skillflow": {
"command": "npx",
"args": [
"-y",
"skillflow-mcp-server"
]
}
}
}
Run commandnpx -y skillflow-mcp-server

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npmskillflow-mcp-server1.0.2

Tools

5

Saved tool list · updated 2w ago

ParameterTypeRequiredDescription
querystringYesSearch query (keyword, category name, or tag)
categorystringNoFilter by category (e.g., 'Development', 'Productivity', 'DevOps')
min_trust_scorenumberNoMinimum trust score (0-100)

Details

From the project README

SkillFlow MCP Server

npm version npm downloads MCP Registry License: MIT Available on SkillFlow

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:

TransportUse CaseCommand
stdioLocal use with Claude Desktop, Cursor, etc.npx skillflow-mcp-server
Streamable HTTPRemote access via Smithery.ai, cloud agentsskillflow-mcp-http or npm start:http

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

Available Tools

ToolDescription
search_skillsSearch for skills by keyword, category, or tag
get_skill_detailsGet detailed info about a specific skill including pricing and performance
list_categoriesList all skill categories
get_trending_skillsGet currently trending skills
get_platform_statsGet 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"

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
MethodPathDescription
POST/mcpSend JSON-RPC requests (initialize, tools/list, tools/call)
GET/mcpOpen SSE stream for server notifications
DELETE/mcpTerminate a session
GET/healthHealth check (includes live skill count)

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

Contributing

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

License

MIT — Rafael Silva


Built with the MCP SDK | Powered by SkillFlow

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.