postman-collection-generator-mcp 0.1.3

MCP server for generating Postman collections from API codebases

Postman Collection Generator MCP Server

An MCP (Model Context Protocol) server that automatically generates Postman collections from API codebases. Supports multiple frameworks including FastAPI, Spring Boot, Flask, Express, and any codebase with OpenAPI/Swagger specifications.

Features

• 🚀 Multi-Framework Support: FastAPI, Spring Boot, Flask, Express, NestJS
• 📋 OpenAPI/Swagger First: Automatically detects and uses OpenAPI specs when available
• 🔍 Smart Code Analysis: Falls back to AST/pattern matching when no spec is found
• 🔐 Authentication Support: Handles Bearer, Basic, and API Key authentication
• 📁 Organized Output: Groups endpoints by tags or path segments
• 🎯 Accurate Detection: Extracts request bodies, parameters, and response examples

Installation

For End Users (via uvx)

The easiest way to use this MCP server is with uvx:

# Install and run directly
uvx postman-collection-generator-mcp

# Or install globally
uv tool install postman-collection-generator-mcp

For Development

# Clone the repository
git clone https://github.com/yourusername/postman-collection-generator-mcp.git
cd postman-collection-generator-mcp

# Install dependencies with Poetry
poetry install

# Run in development
poetry run postman-collection-generator-mcp

Configuration

Claude Desktop Configuration

Add this to your Claude Desktop configuration file:

For uvx installation (recommended):

{
  "mcpServers": {
    "postman-generator": {
      "command": "uvx",
      "args": ["--no-cache", "postman-collection-generator-mcp"],
      "env": {
        "BITBUCKET_EMAIL": "your-username",
        "BITBUCKET_API_TOKEN": "your-app-password",
        "output_directory": "/path/to/output"
      }
    }
  }
}

For local development:

{
  "mcpServers": {
    "postman-generator": {
      "command": "poetry",
      "args": ["run", "postman-collection-generator-mcp"],
      "cwd": "/path/to/postman-collection-generator-mcp",
      "env": {
        "BITBUCKET_EMAIL": "your-username",
        "BITBUCKET_API_TOKEN": "your-app-password",
        "output_directory": "/path/to/output"
      }
    }
  }
}

Environment Variables

• BITBUCKET_EMAIL: Your Bitbucket username (not email)
• BITBUCKET_API_TOKEN: Bitbucket app password with repository read access
• GITHUB_TOKEN: GitHub personal access token (for private repos)
• output_directory: Where to save generated Postman collections (default: current directory)

Usage

Once configured, you can use the following commands in Claude:

Generate a Postman collection from https://github.com/username/repo.git

Create Postman collection for https://bitbucket.org/team/api-project.git

The server will:

1. Clone the repository
2. Detect the framework and analyze the codebase
3. Extract all API endpoints with their parameters and examples
4. Generate a Postman v2.1 collection file
5. Save it to your output directory

Supported Frameworks

With Full Support

• FastAPI (Python) - Full OpenAPI integration
• Spring Boot (Java) - Annotation-based detection
• Express (Node.js) - Route pattern matching
• Flask (Python) - Decorator-based detection
• Django REST (Python) - ViewSet and path detection

Coming Soon

• NestJS (TypeScript)
• Ruby on Rails
• ASP.NET Core

Publishing Updates to PyPI

One-Time Setup

# Configure PyPI token (get from https://pypi.org/manage/account/token/)
poetry config pypi-token.pypi YOUR-PYPI-TOKEN

Publishing Updates Workflow

1. Update Version

   # Update version in pyproject.toml
   poetry version patch  # for bug fixes (0.1.0 -> 0.1.1)
   poetry version minor  # for new features (0.1.0 -> 0.2.0)
   poetry version major  # for breaking changes (0.1.0 -> 1.0.0)
   

2. Build Package

   poetry build
   

3. Publish to PyPI

   poetry publish
   

4. Test Installation

   # Test the published package
   uvx --reinstall postman-collection-generator-mcp
   

Automated Version Workflow

# Complete update workflow
poetry version patch && poetry build && poetry publish

Users Update with uvx

After publishing, users can update with:

uvx --reinstall postman-collection-generator-mcp

Development

Running Tests

poetry run pytest

Code Quality

# Format code
poetry run black .

# Lint code
poetry run ruff check .

Local Testing with MCP Inspector

# Start the server in HTTP mode for testing
poetry run postman-collection-generator-mcp --transport http --port 8000

# Then connect with MCP Inspector at http://localhost:8000/mcp

Architecture

The server follows clean architecture principles:

• Models: Pydantic models for API endpoints and Postman collections
• Analyzers: Framework-specific endpoint extraction logic
• Generators: Postman collection generation from API models
• Clients: Git repository access with authentication support

Contributing

1. Fork the repository
2. Create a feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

License

MIT License - see LICENSE file for details

Acknowledgments

• Built with FastMCP framework
• Inspired by API development workflows and the need for automation