"Postman" matching MCP servers:

Postman’s remote MCP server connects AI agents, assistants, and chatbots directly to your APIs on Postman. Use natural language to prompt AI to automate work across your Postman collections, environments, workspaces, and more.

A Model Context Protocol (MCP) server that provides seamless integration with the Postman API, enabling AI assistants and applications to interact with Postman workspaces, collections, requests, environments, and folders programmatically.

MCP server providing 41 tools to manage Postman collections, environments, mocks, API specs, and workspaces via Streamable HTTP, SSE, or stdio.

mcp-PostmanV3

Run the requests in a Postman collection folder and get structured, assertion-level results back straight from your AI assistant.

Integrates Postman with Cursor IDE to manage collections and requests through natural language. It features specialized tools for automatically migrating API endpoints and metadata directly from .NET controller code into Postman collections.

Provides seamless access to Postman.

Caches Mailganer API documentation and Postman collection locally, enabling search, sync, and cross-reference between API docs and Postman requests.

Self-hosted source-available MCP gateway that turns REST, SOAP/WSDL, GraphQL, and SQL/NoSQL databases into MCP tools. Imports OpenAPI/Postman/WSDL/GraphQL specs and bridges multiple MCP servers behind one endpoint. Ships with 29 pre-built adapters and built-in OAuth2 + RBAC + audit log.

Turn any OpenAPI/Swagger/Postman spec into an MCP server — give your LLM live access to any API.

MCP server for API test case generation from Swagger/OpenAPI specs. Parses Swagger 2.0 and OpenAPI 3.x, generates test cases across 8 categories (positive, negative, boundary, auth, security, idempotency, pagination, business logic), and exports to Postman, TestRail, Allure, k6, pytest, Gherkin, and CSV. Supports internal corporate APIs with auth headers. Auto-saves export files to your working di

Enables deploying applications to Hostman, creating VPCs, databases, and floating IPs, and managing VCS providers through natural language prompts.

Enables QA/SDET engineers to test APIs by ingesting Swagger/OpenAPI specs and Postman collections, generating and executing tests in multiple languages and frameworks with real-time progress tracking.

Automatically generates Postman collections from code directories by analyzing API endpoints and parameters, enabling easy testing, documentation, and sharing.

Enables AI agents to create, manage, and execute API collections, requests, and environments in Insomnia-compatible formats. It supports direct synchronization with the local Insomnia app database and importing from OpenAPI, Postman, and cURL.