What problem does it solve? Managing Postman workspaces, collections, and environments manually through the UI is repetitive and slow, especially when syncing API definitions, generating client code, or running tests across multiple environments. This Skill lets AI agents perform those Postman operations directly through natural language. ## Core Features & Use Cases - Workspace & Collection Management: Create workspaces, build collections, add requests, and update documentation via agent-driven tool calls. - Environment & Testing Automation: Create environments with variables, run collections, and send individual requests including localhost APIs via the local server. - Code Generation & Specs: Search public API definitions, generate client code in languages like TypeScript or Python, and import OpenAPI specs to generate collections. - Use Case: You are starting an API-first project. Ask the agent to import your OpenAPI spec, generate a collection, create dev/staging/prod environments, run smoke tests, and produce a typed TypeScript client, all in one conversation. ## Quick Start Install the server with "claude mcp add --transport http postman https://mcp.postman.com/minimal", then ask the agent to list your Postman workspaces and create a new collection.
