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MCP-Postman API测试工具

启用通过Newman运行Postman集合,以进行API测试并通过对标准化接口获取详细的结果分析。

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README

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

Postman Server MCP server

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/
  ├── index.ts           # Entry point
  ├── server/
  │   ├── server.ts     # MCP Server implementation
  │   └── types.ts      # Type definitions
  └── newman/
      └── runner.ts     # Newman runner implementation
test/
  ├── server.test.ts    # Server tests
  ├── newman-runner.test.ts  # Runner tests
  └── fixtures/         # Test fixtures
      └── 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

help

运行方式说明

cloud

托管运行

托管运行通常表示这个 MCP Server 由服务方环境承载,用户一般按页面提供的连接方式或授权流程接入,不需要在本地长期启动一个 MCP 进程

  1. 打开服务方连接页
  2. 完成授权或复制端点
  3. 在 MCP 客户端中连接
terminal

本地运行 / 其它方式

本地运行通常需要用户在自己的电脑或服务器上安装依赖,把 server_config 复制到 MCP 客户端,并按 env_schema 补齐环境变量、密钥或其它配置

  1. 复制 server_config
  2. 安装所需依赖
  3. 补齐环境变量后重启客户端