SkillFlow MCP Server
# SkillFlow MCP Server
[](https://www.npmjs.com/package/skillflow-mcp-server)
[](https://www.npmjs.com/package/skillflow-mcp-server)
[](https://registry.modelcontextprotocol.io)
[](https://opensource.org/licenses/MIT)
[](https://skillflow.builders)
> Connect AI coding agents to the SkillFlow AI skills marketplace. Live data. Zero config. One command.
A [Model Context Protocol (MCP)](https://modelcontextprotocol.io) server that connects AI coding agents to the [SkillFlow](https://skillflow.builders) 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` |
## Quick Start (stdio — Local)
### One-liner (npx)
```bash
npx skillflow-mcp-server
```
### Claude Desktop
Add to your `claude_desktop_config.json`:
```json
{
"mcpServers": {
"skillflow": {
"command": "npx",
"args": ["-y", "skillflow-mcp-server"]
}
}
}
```
### Cursor
Add to `.cursor/mcp.json`:
```json
{
"mcpServers": {
"skillflow": {
"command": "npx",
"args": ["-y", "skillflow-mcp-server"]
}
}
}
```
### Windsurf / VS Code / Other MCP Clients
```json
{
"mcpServers": {
"skillflow": {
"command": "npx",
"args": ["-y", "skillflow-mcp-server"]
}
}
}
```
### Global Installation
```bash
npm install -g skillflow-mcp-server
skillflow-mcp
```
## 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"*
## Quick Start (Streamable HTTP — Remote)
### Self-hosted
```bash
npm install -g skillflow-mcp-server
PORT=3000 skillflow-mcp-http
```
### Docker
```bash
docker build -t skillflow-mcp .
docker run -p 3000:3000 skillflow-mcp
```
### Smithery.ai
Available at: [smithery.ai/server/skillflow-mcp-server](https://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) |
## 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
- [Official MCP Registry](https://registry.modelcontextprotocol.io) (Anthropic)
- [npm](https://www.npmjs.com/package/skillflow-mcp-server)
- [MCP Market](https://mcpmarket.com)
- [mcpservers.org](https://mcpservers.org)
- [Glama.ai](https://glama.ai/mcp/servers)
- [Smithery.ai](https://smithery.ai/server/skillflow-mcp-server)
## Development
```bash
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](https://github.com/rafsilva85)
---
Built with the [MCP SDK](https://github.com/modelcontextprotocol/sdk) | Powered by [SkillFlow](https://skillflow.builders)
TDQS
Scored across 5 tools
Each tool has a clearly distinct purpose with no overlap: get_publisher_info focuses on publishers, get_skill_details on individual skills, get_trending_skills on trending lists, list_categories on categories, and search_skills on keyword-based discovery. The descriptions reinforce these boundaries, making misselection unlikely.
All tool names follow a consistent verb_noun pattern using snake_case (e.g., get_publisher_info, search_skills). The verbs are descriptive and uniform across the set, with no deviations in style or convention.
With 5 tools, this server is well-scoped for a marketplace discovery service. Each tool earns its place by covering distinct aspects of browsing and querying skills, publishers, and categories, without being overly sparse or bloated.
The tool set provides comprehensive read-only coverage for exploring a skill marketplace, including publishers, skills, categories, and search. A minor gap exists in the lack of tools for installing or managing skills, but agents can still perform discovery tasks effectively.