"A server to import Postman collections and get all features without Postman dependency" matching MCP servers:

Converts REST API code (like NestJS controllers or FastAPI endpoints) to Postman collections and environments, helping developers automatically sync their API endpoints with Postman.

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.

Sync your API code into Postman collections — body, params, auth, responses, tests, and examples — with zero manual fill, straight from Claude Code.

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.

Enables running Postman collections using Newman for conducting API tests and obtaining detailed result analysis via a standardized interface.

An MCP server that enables running Postman collections using Newman, allowing LLMs to execute API tests and get detailed results through a standardized interface.

Enables interaction with Postman workspaces, collections, requests, responses, and monitors through the Postman API. Allows users to manage API collections, create and update requests/responses, and execute monitors directly from chat.

A Cloudflare Worker that provides API access to Postman collections and environments via the Claude AI MCP interface, enabling Claude to assist with API testing, documentation, and management tasks.

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

Provides seamless access to Postman.

Generates MCP servers from Postman API requests, automatically creating JavaScript tools that enable LLMs to interact with any API documented in Postman collections. Supports authentication configuration and deployment via STDIO or SSE.

Enables AI assistants to create, manage, and interact with Postman collections, workspaces, environments, and API requests directly from conversations.

mcp-PostmanV3

An MCP server that generates AI agent tools from Postman collections and requests. This server integrates with the Postman API to convert API endpoints into type-safe code that can be used with various AI frameworks.

Connects AI agents to Postman workspaces, collections, API specifications, and environments for API testing, management, and client code generation.

Automatically converts Postman API collections into MCP-compatible tools for AI assistants. Enables users to interact with any API through natural language by generating JavaScript tools from Postman requests.

An MCP server that converts Postman API requests into executable tools for LLMs using the Postman Runtime. It supports complex authentication types and enables seamless integration between Postman collections and MCP clients like Claude Desktop.

An MCP server generated from Postman API requests, enabling natural language interaction with Postman collections via MCP-compatible clients like Claude.

A server that implements the Model Context Protocol (MCP) standard, enabling LLMs like Claude to interact with selected Postman API requests through generated JavaScript tools.

An MCP-compatible server that provides tools for integrating selected Postman API requests, allowing LLMs like Claude to interact with APIs through natural language.

An MCP server that exposes Postman API requests as tools, enabling natural language interaction with APIs via MCP-compatible clients.

Generates MCP servers from Postman API collections, automatically converting selected API requests into MCP-compatible tools that can be used with Claude Desktop and other MCP clients.

Server that ingests Swagger/OpenAPI specifications and Postman collections, providing just 4 strategic tools that allow AI agents to dynamically discover and interact with APIs instead of generating hundreds of individual tools.

Enables AI agents to dynamically discover and interact with APIs through Swagger/OpenAPI specifications and Postman collections using a strategic four-tool approach. It streamlines API integration by providing universal tools for endpoint discovery, detailed request information, and authenticated execution.

Enables users to turn any API's documentation into a tested MCP server whose tools expose the API's own operations, with linting, contract tests, and live verification. It accepts OpenAPI/Swagger, Postman, RAML, WSDL, GraphQL, RSS, and HTML docs.

Converts any OpenAPI 3.x spec into a live MCP server, making every endpoint a validated tool that AI agents can call without writing glue code.

MCP server that fetches API responses and generates ready-to-use model/POJO classes in your configured language, with built-in login/refresh token handling.

A tool that creates MCP (Model Context Protocol) servers from OpenAPI/Swagger specifications, enabling AI assistants to interact with your APIs.

Generates standalone, human-readable MCP servers from RAML 1.0 or OpenAPI 3.x specs, exposing one tool per resource and method that makes real HTTP calls. It understands Mule/Anypoint auth patterns such as Client ID enforcement and OAuth2, wiring the expected credentials from environment variables at call time.

Auto-generates MCP tools from your OpenAPI spec, allowing natural language interaction with any API via configurable headers and serverless deployment.

A bridge that enables any LLM to access and interact with documented REST APIs through the Model Context Protocol (MCP).

A minimal MCP server that auto-generates tools from your OpenAPI spec, optimized for Vercel.

A standalone proxy that transforms any OpenAPI or Swagger-described REST API into an MCP server by mapping API operations to executable MCP tools. It enables AI clients to interact with existing web services through automated HTTP requests based on their official documentation.

Automatically converts any OpenAPI specification or Postman Collection into an MCP server, enabling AI assistants like Claude to directly interact with REST APIs without writing any code.

Enables MCP clients to expose selected operations from local OpenAPI 3.0/3.1 documents as tools, with stdio serving or generated standalone server projects and read-only defaults.

Automatically converts Swagger/OpenAPI specifications into dynamic MCP tools, enabling interaction with any REST API through natural language by loading specs from local files or URLs.

Converts any REST API endpoints into MCP tools, enabling AI clients like Cursor and Claude Desktop to call internal services directly.

Converts natural language queries into valid GraphQL queries and executes them against GraphQL APIs. Includes schema introspection, query validation, execution with authentication, and query history tracking.