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mcp-server-postman-tool-generation

一个MCP服务器,可以从Postman集合和请求生成AI代理工具。该服务器与Postman API集成,将API端点转换为类型安全的代码,这些代码可以与各种AI框架一起使用。

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README

Postman Tool Generation MCP Server

An MCP server that generates AI agent tools from Postman collections and requests. This server integrates with the Postman API to convert API endpoints into type-safe code that can be used with various AI frameworks.

MCP Server for Postman AI Tool Generator - Convert Postman APIs into type-safe AI tools seamlessly. | Product Hunt

Model Context Protocol (MCP) is a new, standardized protocol for managing context between large language models (LLMs) and external systems. In this repository, we provide an installer as well as an MCP Server for Postman Tool Generation API.

This lets you use Claude Desktop, or any MCP Client like Cline, to use natural language to accomplish things on your Postman account, e.g.:

  • Create an AI tool for: collectionID: 12345-abcde requestID: 67890-fghij typescript openai

Postman Tool Generation Server MCP server

Features

  • Generate TypeScript/JavaScript code from Postman collections
  • Support for multiple AI frameworks (OpenAI, Mistral, Gemini, Anthropic, LangChain, AutoGen)
  • Type-safe code generation
  • Error handling and response validation

Demo

Demonstrating the newly-released MCP server to explore Postman Tool Generation API

Setup

  1. Install dependencies:
npm install
  1. Build the server:
npm run build
  1. Configure the MCP settings by adding the following to your Claude settings file (cline_mcp_settings.json):
{
  "mcpServers": {
    "postman-ai-tools": {
      "command": "node",
      "args": [
        "/path/to/postman-tool-generation-server/build/index.js"
      ],
      "env": {
        "POSTMAN_API_KEY": "your-postman-api-key"
      },
      "disabled": false,
      "autoApprove": []
    }
  }
}

Usage

The server provides a single tool called generate_ai_tool with the following parameters:

{
  collectionId: string;    // The Public API Network collection ID
  requestId: string;       // The public request ID
  language: "javascript" | "typescript";  // Programming language to use
  agentFramework: "openai" | "mistral" | "gemini" | "anthropic" | "langchain" | "autogen";  // AI framework
}

Example

// Using the tool through MCP
const result = await use_mcp_tool({
  server_name: "postman-ai-tools",
  tool_name: "generate_ai_tool",
  arguments: {
    collectionId: "your-collection-id",
    requestId: "your-request-id",
    language: "typescript",
    agentFramework: "openai"
  }
});

Generated Code

The tool generates type-safe code that includes:

  • Type definitions for request/response
  • Error handling
  • API integration
  • OpenAI function definitions
  • Documentation and examples

Development

  1. Install dependencies:
npm install
  1. Make changes to src/index.ts

  2. Build the server:

npm run build
  1. Restart the Claude app to load the updated server

Environment Variables

  • POSTMAN_API_KEY: Your Postman API key (required)

Error Handling

The server includes comprehensive error handling for:

  • Invalid parameters
  • API failures
  • JSON parsing errors
  • Network issues

Error responses include detailed messages to help diagnose issues.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

MIT License

help

Runtime guide

cloud

Hosted runtime

Hosted servers run from a provider-managed environment. You usually connect the MCP client to the hosted endpoint or follow the provider's authorization flow, without keeping a local process alive

  1. Open provider connection page
  2. Authorize or copy endpoint
  3. Connect from your MCP client
terminal

Local runtime / other methods

Local servers run on your own machine or infrastructure. You normally copy the server_config into your MCP client, install the required package, and provide env variables from env_schema when needed

  1. Copy server_config
  2. Install required package
  3. Fill env variables and restart client