mcp-postman

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MCP Server for running Postman Collections with Newman

What is mcp-postman

Postman MCP Server

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An MCP (Model Context Protocol) server that enables running Postman collections using Newman. This server allows LLMs to execute API tests and get detailed results through a standardized interface.

MCP Postman Server Demo

Features

  • Run Postman collections using Newman
  • Support for environment files
  • Support for global variables
  • Detailed test results including:
    • Overall success/failure status
    • Test summary (total, passed, failed)
    • Detailed failure information
    • Execution timings

Installation

Installing via Smithery

To install Postman Runner for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install mcp-postman --client claude

Manual Installation

# Clone the repository
git clone <repository-url>
cd mcp-postman

# Install dependencies
pnpm install

# Build the project
pnpm build

Usage

Configuration

Add the server to your Claude desktop configuration file at ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "postman-runner": {
      "command": "node",
      "args": ["/absolute/path/to/mcp-postman/build/index.js"]
    }
  }
}

Available Tools

run-collection

Runs a Postman collection and returns the test results.

Parameters:

  • collection (required): Path or URL to the Postman collection
  • environment (optional): Path or URL to environment file
  • globals (optional): Path or URL to globals file
  • iterationCount (optional): Number of iterations to run

Example Response:

{
  "success": true,
  "summary": {
    "total": 5,
    "failed": 0,
    "passed": 5
  },
  "failures": [],
  "timings": {
    "started": "2024-03-14T10:00:00.000Z",
    "completed": "2024-03-14T10:00:01.000Z",
    "duration": 1000
  }
}

Example Usage in Claude

You can use the server in Claude by asking it to run a Postman collection:

"Run the Postman collection at /path/to/collection.json and tell me if all tests passed"

Claude will:

  1. Use the run-collection tool
  2. Analyze the test results
  3. Provide a human-friendly summary of the execution

Development

Project Structure

src/
  โ”œโ”€โ”€ index.ts           # Entry point
  โ”œโ”€โ”€ server/
  โ”‚   โ”œโ”€โ”€ server.ts     # MCP Server implementation
  โ”‚   โ””โ”€โ”€ types.ts      # Type definitions
  โ””โ”€โ”€ newman/
      โ””โ”€โ”€ runner.ts     # Newman runner implementation
test/
  โ”œโ”€โ”€ server.test.ts    # Server tests
  โ”œโ”€โ”€ newman-runner.test.ts  # Runner tests
  โ””โ”€โ”€ fixtures/         # Test fixtures
      โ””โ”€โ”€ sample-collection.json

Running Tests

# Run tests
pnpm test

# Run tests with coverage
pnpm test:coverage

Building

# Build the project
pnpm build

# Clean build artifacts
pnpm clean

Contributing

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

License

ISC

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Frequently Asked Questions

What is MCP?

MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications, providing a standardized way to connect AI models to different data sources and tools.

What are MCP Servers?

MCP Servers are lightweight programs that expose specific capabilities through the standardized Model Context Protocol. They act as bridges between LLMs like Claude and various data sources or services, allowing secure access to files, databases, APIs, and other resources.

How do MCP Servers work?

MCP Servers follow a client-server architecture where a host application (like Claude Desktop) connects to multiple servers. Each server provides specific functionality through standardized endpoints and protocols, enabling Claude to access data and perform actions through the standardized protocol.

Are MCP Servers secure?

Yes, MCP Servers are designed with security in mind. They run locally with explicit configuration and permissions, require user approval for actions, and include built-in security features to prevent unauthorized access and ensure data privacy.