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Postman Agent Generator MCP Server

@leonas5555

リポジトリ

基本情報

カテゴリ

AI とエージェント

トランスポート

stdio

作者

leonas5555

Postman Agent Generator MCP Server について

概要はまだありません

#postman#api#mcp-server

Postman Agent Generator MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "insightsentry-mcp-server": {
      "command": "node",
      "args": [
        "index.js",
        "tools"
      ]
    }
  }
}

Postman Agent Generator MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Postman Agent Generator?

Postman Agent Generator is an MCP-compatible server (mcpServer.js) that exposes selected Postman API requests as automatically generated JavaScript tools. It is created by the Postman Agent Generator tool and intended for developers who want to integrate their Postman API collections with AI clients like Claude Desktop or the Postman Desktop Application.

How to use Postman Agent Generator?

Install dependencies with npm install, then set required environment variables in the .env file (API keys, base URLs). List available tools with node index.js tools. Run the server with node mcpServer.js (stdio) or add --sse for SSE mode. Integrate with Claude Desktop by adding the server to its config file, or use the Postman Desktop Application for easier management.

Key features of Postman Agent Generator

  • MCP-compatible server (mcpServer.js) for AI agent integration
  • Automatically generated JavaScript tools for each selected Postman API request
  • Environment variable support per workspace for API authentication
  • Docker deployment support with included Dockerfile
  • Server-Sent Events (SSE) transport option for real-time streaming
  • Works with Postman Desktop and Claude Desktop clients

Use cases of Postman Agent Generator

  • Turn Postman API requests into tools for an AI assistant like Claude Desktop
  • Automate API workflows by connecting Postman collections to MCP-compatible agents
  • Stream real-time API data via SSE to AI applications
  • Deploy a containerized MCP server for production environments

よくある質問

1

What runtime is required?

Node.js v16 or higher (v20+ recommended) and npm are required.

2

How are API keys handled?

API keys and other credentials are stored as environment variables in the `.env` file, using workspace-specific variable names (e.g., `ACME_API_KEY`). Each tool reads the appropriate variable for the API it calls.

3

Can I add more tools later?

Yes. Generate a new agent with additional requests, copy the new tool files into the `tools/` folder, and update `tools/paths.js` to include them.

4

Is there Docker support?

Yes. A Dockerfile is included. Build the image with `docker build -t <server_name> .` and run it with Docker. Claude Desktop can be configured to use the Docker container as the transport.

5

What transport protocols are supported?

The default transport is stdio. SSE (Server-Sent Events) is supported by passing the `--sse` flag when starting the server.

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