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MCP server · Data

Hatchery

CLI tool to scaffold Model Context Protocol (MCP) servers for local and remote deployment (JavaScript/Python)

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Scored 6 months ago · breakdown

About Hatchery

Hatchery is an MCP server in the Data category: cLI tool to scaffold Model Context Protocol (MCP) servers for local and remote deployment (JavaScript/Python).

Install

Claude Code
claude mcp add hatchery -- npx -y mcp-hatchery
npx
npx -y mcp-hatchery

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README

MCP Hatchery 🥚

A CLI tool to scaffold Model Context Protocol (MCP) servers with support for:

  • JavaScript: Using @modelcontextprotocol/sdk with Netlify/Vercel hosting
  • Python: Using FastMCP framework with optional FastMCP Cloud hosting

Installation

npm install -g mcp-hatchery

Usage

mcp-hatchery create my-server

Or use directly with npx:

npx mcp-hatchery create my-mcp-server

You'll be prompted for a project name and description. The tool generates a complete MCP server with example tools ready for customization.

Project Types

JavaScript (Bare Bones)

MCP server using the official JavaScript SDK:

  • Local stdio transport for IDE integration
  • Remote HTTP/SSE transport for Netlify or Vercel
  • Example tools with Zod schema validation
  • Uses @modelcontextprotocol/sdk

Python (FastMCP)

MCP server using the FastMCP Python framework:

  • Data-driven servers with sample query tools
  • Local stdio support for IDE integration
  • Optional remote deployment to FastMCP Cloud
  • Includes test script and comprehensive README
  • Uses fastmcp>=2.0.0

Generated Project Structure

JavaScript Projects

my-mcp-server/
├── src/
│   ├── index.js       # Local MCP server (stdio transport)
│   └── tools.js       # Tool definitions with Zod schemas
├── netlify/
│   └── functions/
│       └── api.js     # Netlify Function (SSE transport)
├── data/              # Optional data files for your tools
├── package.json
├── netlify.toml
└── README.md
  • src/tools.js — Define your MCP tools here (name, description, schema, handler)
  • src/index.js — Stdio server for local IDE integration
  • netlify/functions/api.js — SSE server for remote deployment
  • data/ — Store static data files your tools need to access

FastMCP Projects

my-fastmcp-server/
├── server.py          # FastMCP server with sample tools
├── requirements.txt   # Python dependencies
├── test_server.py     # Validation script
├── data/
│   └── sample.json    # Sample data file
└── README.md          # Deployment guide
  • server.py — FastMCP server with example data query tools
  • test_server.py — Test script to validate functionality
  • data/sample.json — Example data structure
  • requirements.txt — Python dependencies (fastmcp>=2.0.0)

IDE Configuration

Add to your IDE's MCP settings:

JavaScript (Local):

{
  "mcpServers": {
    "my-server": {
      "command": "node",
      "args": ["/absolute/path/to/my-mcp-server/src/index.js"]
    }
  }
}

Python (Local):

{
  "mcpServers": {
    "my-fastmcp-server": {
      "command": "python",
      "args": ["/absolute/path/to/my-fastmcp-server/server.py"]
    }
  }
}

Remote (after Netlify deployment):

{
  "mcpServers": {
    "my-server": {
      "command": "npx",
      "args": ["mcp-remote@next", "https://my-server.netlify.app/mcp"]
    }
  }
}

Remote (after FastMCP Cloud deployment):

{
  "mcpServers": {
    "my-fastmcp-server": {
      "type": "http",
      "url": "https://your-project-name.fastmcp.app/mcp"
    }
  }
}

Deploy to Netlify

Via GitHub

  1. Push your project to GitHub
  2. Go to Netlify → "Add new site" → "Import an existing project"
  3. Connect your repository — Netlify auto-detects settings from netlify.toml

Via CLI

npm install -g netlify-cli
netlify login
netlify deploy --prod

Endpoints

Once deployed:

  • SSE: https://your-site.netlify.app/.netlify/functions/api/sse
  • Message: https://your-site.netlify.app/.netlify/functions/api/message

Then rebuild: npm run build

Deploy to FastMCP Cloud

For Python projects generated with the FastMCP option:

  1. Push your project to GitHub
  2. Visit fastmcp.cloud and sign in with GitHub
  3. Create new project from your repository
  4. Configure:
    • Name: Choose a unique name (creates URL)
    • Entrypoint: server.py:mcp
    • Authentication: Public or organization-only
  5. Deploy (automatic)
  6. Connect at: https://your-project-name.fastmcp.app/mcp

FastMCP Cloud automatically redeploys on every push to main.

Requirements

  • Node.js >= 18.0.0 (for JavaScript projects)
  • Python >= 3.8 (for FastMCP projects)

License

MIT

README copy captured when this server was indexed; it may lag the repository. The original is authoritative.

Questions

About Hatchery

How do I install Hatchery?

Run claude mcp add hatchery -- npx -y mcp-hatchery, then add the server to your MCP client's configuration.

Is Hatchery safe to use with an AI agent?

Its trust score is 37 out of 100 (low). It passes 1 of the 1 static security checks run so far. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Hatchery still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.