Postman MCP

Postman is an API development platform where teams keep their requests, collections, environments, mock servers, monitors, and API specifications in shared workspaces. The Postman MCP server exposes that workspace data to an AI assistant, turning the Postman API into a set of callable tools instead of another dashboard to navigate by hand. Connected to the server, an agent can list the workspaces and collections a team owns, read the requests inside a collection along with their headers, parameters, and saved example responses, create or update collections and environments, and work with mock servers, monitors, and stored API definitions. That makes the collection a reusable source of truth: the agent reads how an endpoint is actually called by your team, then writes client code or a test against it rather than guessing from prose documentation. Typical uses are scaffolding integration code from an existing collection, keeping a collection in step with a changing service, generating tests, and onboarding by asking questions about an unfamiliar API surface. The server runs against your Postman account with an API key, so what an agent can see matches the workspaces that key can reach. Reduced tool set modes are available for clients that struggle when a server registers a very large catalog of tools.