Skillflow

io.github.rafsilva85由 GitHub 帳號 rafsilva85 發布v1.0.2更新於 Oct 24, 2026

Search, discover, and install 500+ AI agent skills from the SkillFlow marketplace.

已驗證STDIO僅桌面效率與工作流知識與記憶

概覽

AI 產生的概覽

讓助理搜尋、瀏覽並查看 SkillFlow AI 技能市集中的技能,包括分類、熱門趨勢與平台統計資料。

可以做什麼
透過五個唯讀工具把 AI 程式開發助理連接到 SkillFlow 市集:search_skills 依關鍵字、分類或標籤搜尋;get_skill_details 查看單一技能的價格與效能;list_categories 列出分類;get_trending_skills 取得熱門技能;get_platform_stats 取得技能數、執行次數、創作者與營收等平台統計。資料來自 SkillFlow 後端的即時 API,並有五分鐘快取,而非寫死的清單。README 也說明了可選的 Streamable HTTP 遠端或自架模式。
適用情境
適合在助理需要尋找、比較或評估第三方代理技能時使用,例如搜尋 SEO、內容撰寫或潛在客戶開發相關技能。它是探索與查詢工具,並不負責執行技能。
執行需求
以 stdio 在本機執行,通常透過 npx skillflow-mcp-server 或全域 npm 安裝,因此需要 Node.js 以及連線到 SkillFlow 後端的網路。README 表示不需要 API 金鑰或環境變數。可選的 HTTP 模式可自架或以 Docker 執行。
安裝前請注意
此伺服器會查詢第三方市集後端,搜尋詞與查詢內容會傳送給該服務。回傳結果是供應商自行提供的項目,其中的信任度與效能指標屬於自報資料,應視為宣傳資訊而非經過驗證的基準。透過它安裝技能是另一項操作,有其自身風險。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Skillflow,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。

其他 MCP 客戶端

參照 儲存庫 中的啟動說明。

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)

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-serverskillflow-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

bash
npm install -g skillflow-mcp-serverPORT=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

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

bash
git clone https://github.com/rafsilva85/skillflow-mcp-server.gitcd skillflow-mcp-servernpm installnpm run buildnpm start

Contributing

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

License

MIT — Rafael Silva


Built with the MCP SDK | Powered by SkillFlow

來源:README.md,提交 f79048c

工具

0
SourceWeft 尚未在沙箱中啟動過該軟體包,因此其工具未知。

版本歷史

1
  1. v1.0.2最新Sep 16, 2026

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