Postman MCP Server, developed by Postmanlabs, functions as a Model Context Protocol server, enabling AI agents and Integrated Development Environments to interact with Postman's API workflows. Built with TypeScript/JavaScript, it integrates with collections, environments, workspaces, specifications, mock servers, and monitors. This server is available as an npm package and a Docker image, also runnable locally via npx. It allows API developers, AI agents, and coding assistants to automate various API lifecycle tasks directly through AI tools, enhancing productivity and integration capabilities.

What does Postman MCP Server connect to?

The Postman MCP Server establishes connections between AI agents and Integrated Development Environments with Postman's API workflows. It specifically integrates with core Postman features such as collections, environments, workspaces, specifications, mock servers, and monitors. This server functions as a Model Context Protocol server, bridging AI capabilities with the rich context of Postman. It supports two main transport protocols: streamable HTTP for remote server access and STDIO for local server operations.

Core features and tools

The server offers callable tools through distinct configurations or toolsets. The Minimal toolset provides essential Postman operations, including day-to-day collection and environment management (approximately 37 tools). The Code toolset assists in API discovery within a workspace and generates idiomatic client code, specifically for AI coding agents. The Full toolset includes the complete Postman toolkit, offering over 100 tools for advanced automation. The Learn toolset enables agents to search the Postman Learning Center documentation for guidance.

Who is it for?

Postman MCP Server is designed for API developers, AI agents, and coding assistants aiming to integrate AI tools with Postman's context and features. It helps automate API lifecycle management and generate code directly from within AI-powered environments. Confirmed compatible AI clients include Claude Code, Cursor, VS Code Copilot, GitHub Copilot CLI, Gemini CLI, Kiro, Codex CLI, and Antigravity CLI. This is not the right fit if you do not use AI agents or coding assistants for API workflow automation.

How to get started

Access is granted through a standard OAuth authorization flow for the US region remote server. For the EU remote server and local servers, the server authenticates using an API key passed as the environment variable POSTMAN_API_KEY.

Use cases

• Automating the management of Postman collections, environments, and workspaces, such as setting environment variables or creating/updating collections directly from an editor.
• Generating idiomatic client code from API definitions for consuming APIs.
• Automating the entire API lifecycle, from importing an OpenAPI specification and standing up a Mock Server to building test suites and wiring up Monitors, all without directly interacting with the Postman application UI.

Postman MCP Server by Postmanlabs provides a vital link between AI agents and Postman API workflows. Its varied toolsets cater to different automation needs, from basic collection management to full API lifecycle automation. The server supports both remote and local deployments, with flexible authentication options including OAuth and API keys. This enables developers and AI assistants to manage Postman resources without direct UI interaction. Try generating idiomatic client code from an API definition using the Code toolset.