MCP Servers

模型上下文协议服务器、框架、SDK 和模板的综合目录。

mcp-flow is a professional-grade, node-based no-code platform for creating and deploying Model Context Protocol (MCP) servers visually. Build powerful tools for AI agents (Claude, ChatGPT, Cursor, Copilot) without writing a single line of code.

创建于 4/27/2026
更新于 about 4 hours ago
Repository documentation and setup instructions

mcp-flow

mcp-flow is a professional-grade, node-based no-code platform for creating and deploying Model Context Protocol (MCP) servers visually. Build powerful tools for AI agents (Claude, ChatGPT, Cursor, Copilot) without writing a single line of code.

Features

  • Visual Workflow Builder: Drag-and-drop interface powered by React Flow.
  • MCP Native: Out-of-the-box support for MCP tool definitions and schemas.
  • Instant Deployment: Publish your workflows as hosted MCP endpoints.
  • Dynamic Nodes: HTTP requests, JSON transformations, conditional logic, and secret management.
  • Security First: Encrypted secrets, rate limiting, and sandboxed execution.

Tech Stack

  • Frontend: Next.js 15, React 19, TypeScript, Tailwind CSS, shadcn/ui, Framer Motion, React Flow.
  • Backend: NestJS, Node.js, TypeScript, mcp-use.
  • Database: PostgreSQL (Prisma ORM).
  • Monorepo: pnpm workspaces.

Getting Started

Prerequisites

Installation

  1. Clone the repository:

    git clone https://github.com/udaykumar-dhokia/mcp-flow.git
    cd mcp-flow
    
  2. Install dependencies:

    pnpm install
    
  3. Setup environment variables: Copy .env.example to .env in both frontend and backend directories and fill in the required values.

Development

Start both frontend and backend in development mode:

pnpm dev

🤝 Contributing

Contributions are welcome! Please read our CONTRIBUTING.md (coming soon) for details on our code of conduct and the process for submitting pull requests.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Support

If you like this project, please give it a star! ⭐

快速设置
此服务器的安装指南

安装包 (如果需要)

npx @modelcontextprotocol/server-mcp-flow

Cursor 配置 (mcp.json)

{ "mcpServers": { "udaykumar-dhokia-mcp-flow": { "command": "npx", "args": [ "udaykumar-dhokia-mcp-flow" ] } } }