Postman MCP Server
Run Postman collections using Newman, with support for environment and global variables.
Postman MCP Server
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.
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 collectionenvironment(optional): Path or URL to environment fileglobals(optional): Path or URL to globals fileiterationCount(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:
- Use the run-collection tool
- Analyze the test results
- 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
- Fork the repository
- Create your feature branch (
git checkout -b feature/amazing-feature) - Commit your changes (
git commit -m 'Add some amazing feature') - Push to the branch (
git push origin feature/amazing-feature) - Open a Pull Request
License
ISC
Server Terkait
Scout Monitoring MCP
sponsorPut performance and error data directly in the hands of your AI assistant.
Alpha Vantage MCP Server
sponsorAccess financial market data: realtime & historical stock, ETF, options, forex, crypto, commodities, fundamentals, technical indicators, & more
Plugged.in
A comprehensive proxy that combines multiple MCP servers into a single MCP. It provides discovery and management of tools, prompts, resources, and templates across servers, plus a playground for debugging when building MCP servers.
Dify Server
Integrates the Dify AI API to generate Ant Design business component code. Supports text, image inputs, and streaming responses.
UML-MCP-Server
Generate various UML diagrams from natural language or PlantUML code. Returns PlantUML code, image URLs, and saves diagrams locally.
MCP Agent Orchestration System
A state-based agent orchestration system using the Model Context Protocol (MCP).
MCP Spec Navigator
Navigate and explore the Model Context Protocol specification with dynamic markdown tree generation and intelligent section navigation.
zeuxis
Let AI agents capture screenshots themselves
ZIN MCP Client
A lightweight CLI client that bridges local LLMs running on Ollama with STDIO MCP Servers.
AppStore-MCP-Server
App store optimization ASO research, metadata, keyword rankings and more
Second Opinion
Review commits and codebases using external LLMs like OpenAI, Google Gemini, and Mistral.
Vercel v0
Generate beautiful UI components using Vercel's v0 generative UI system.
