Skillflow MCP Server

MCP Server for SkillFlow — Connect AI coding agents to the SkillFlow AI skills marketplace. Live API integration with real-time data. Supports stdio and Streamable HTTP transports. The skillflow mcp server wraps that behind the Model Context Protocol, so an assistant can use it through 10 defined tools rather than through you.

What it actually does

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.

• 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

Its toolset

Everything the assistant can do here goes through one of these:

• 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)
• Method — Path
• POST — /mcp
• GET — /mcp
• DELETE — /mcp
• Cursor — The Cursor tool exposed by this server

Adding it to your client

Being a remote server, there is no local install. You register the endpoint with your client, authorise it once, and the tools appear.

When to reach for it

Plenty of developer tooling servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. Skillflow's toolset — search_skills, get_skill_details, list_categories and 7 more — is a fair guide to whether it matches your workflow. It is maintained by rafsilva85; worth a glance at recent repository activity before you build anything load-bearing on it.

SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.

Caveats

• Your data travels to the provider's service, so the usual questions apply about what you send and what they retain.
• With 10 tools registered it takes up a noticeable share of the context window; turn it off in projects that never touch Skillflow.
• MCP clients confirm each tool call by default. Leave that on until you have watched what the skillflow mcp server does with a few real requests.