SkillFlow MCP Server
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@SkillFlow MCP Server search for skills that help with Docker configuration"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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
npxWorks everywhere — Claude Desktop, Cursor, Windsurf, Copilot, Gemini CLI, and any MCP-compatible agent
Related MCP server: SkillHub MCP
Transports
This server supports two transports:
Transport | Use Case | Command |
stdio | Local use with Claude Desktop, Cursor, etc. |
|
Streamable HTTP | Remote access via Smithery.ai, cloud agents |
|
Quick Start (stdio — Local)
One-liner (npx)
npx skillflow-mcp-serverClaude 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-mcpAvailable Tools
Tool | Description |
| Search for skills by keyword, category, or tag |
| Get detailed info about a specific skill including pricing and performance |
| List all skill categories |
| Get currently trending skills |
| 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
npm install -g skillflow-mcp-server
PORT=3000 skillflow-mcp-httpDocker
docker build -t skillflow-mcp .
docker run -p 3000:3000 skillflow-mcpSmithery.ai
Available at: smithery.ai/server/skillflow-mcp-server
HTTP API Endpoints
Method | Path | Description |
|
| Send JSON-RPC requests (initialize, tools/list, tools/call) |
|
| Open SSE stream for server notifications |
|
| Terminate a session |
|
| 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
Development
git clone https://github.com/rafsilva85/skillflow-mcp-server.git
cd skillflow-mcp-server
npm install
npm run build
npm startContributing
Contributions welcome! Please open an issue or submit a PR.
License
MIT — Rafael Silva
Available Tools
5 toolsget_publisher_infoB
Get information about a skill publisher including their published skills and verification status.
Inputs: publisher_id (required).
get_skill_detailsA
Get detailed information about a specific skill including description, install instructions, trust score, and compatible platforms.
Inputs: skill_id (required).
get_trending_skillsB
Get currently trending skills on SkillFlow marketplace, sorted by popularity and trust score.
Inputs: limit.
list_categoriesA
List all available skill categories on SkillFlow with descriptions and skill counts.
Inputs: no named parameters.
search_skillsA
Search for AI agent skills on SkillFlow marketplace by keyword, category, or tag. Returns matching skills with trust scores and install instructions.
Inputs: query (required), category, min_trust_score.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
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.
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