ThePostman Model Context Protocol (MCP) server enables AI agents like Claude, Cursor, and VS Code to help you manage your Postman resources, includingworkspaces,collections,specifications,mocks, andmonitors. The server translates your natural language commands into API workflows behind the scenes. WithMCP, you can build AI agents and complex workflows on top of LLMs using the tools and context provided by the servers.
Communication between the Postman API and the AI agent happens through the following methods:
https://mcp.postman.com/mcp andhttps://mcp.eu.postman.com for EU, without requiring any extra agent setup. Great for using the Postman MCP server with your preferred IDE or AI agent. It supports two tool configurations to better serve different use cases:https://mcp.postman.com/minimal. This offers faster performance and simplifies use for those who only need basic Postman operations.https://mcp.postman.com/mcp.For a complete list of the Postman MCP Server’s tools, see thePostman MCP Server collection. This collection offers both the remotefull andminimal servers, and thelocal server.
Follow thePostman MCP server setup guide to get up and running. Then, explorebest practices and tips for getting the most out of its features.
Last modified: 2025/10/01
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