"Swagger" matching MCP servers:

An MCP server that connects to a Swagger specification and helps an AI to build all the required models to generate a MCP server for that service.

Loads and queries OpenAPI/Swagger documents, providing tools to list APIs, get details, search endpoints, and manage schemas for efficient API exploration.

swagger-mcp is a tool designed to scrape Swagger UI by extracting the swagger.json file and dynamically generating well-defined mcp tools at runtime. These tools can be utilized by the MCP client for further tool selection.

A stdio MCP server that caches Swagger/OpenAPI documents for multiple backend services and provides offline API search, retrieval, and request example generation. It only contacts remote servers when explicitly refreshing the cache.

High-performance server for exploring Swagger/OpenAPI specifications with dynamic session management, lightning-fast endpoint search, and efficient caching. Enables AI assistants to discover, search, and generate code from REST APIs.

Automatically converts Swagger/OpenAPI specifications into MCP servers, enabling AI agents to interact with any REST API through natural language by exposing endpoints as AI-friendly tools.

Dynamically generates MCP tools from Swagger/OpenAPI specifications by extracting swagger.json files at runtime. Enables natural language interaction with any REST API that has Swagger documentation.

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

MCP server that provides tools for exploring and testing APIs through Swagger/OpenAPI documentation.

Enables reading and parsing Swagger/OpenAPI specifications to list API endpoints, get detailed endpoint info, search APIs, and generate TypeScript types for request/response.

Automatically converts Swagger 2.0 API specifications into MCP tools, enabling AI assistants to directly call REST APIs. Supports both local Swagger files and remote URLs with comprehensive parameter validation and error handling.

A server based on Model Context Protocol that parses Swagger/OpenAPI documents and generates TypeScript types and API client code for different frameworks (Axios, Fetch, React Query).

Automatically converts REST APIs with Swagger/OpenAPI documentation into MCP tools, making any documented API accessible to MCP-compatible clients. Supports authentication, SSL handling, and flexible configuration for seamless API integration.

A Swagger/OpenAPI query tool for MCP clients like Cursor, enabling AI assistants to browse, search, and retrieve detailed API type information.

Exposes Swagger/OpenAPI-defined APIs through the Model Context Protocol, making them accessible to AI agents.

A server that enables interaction with any API that has a Swagger/OpenAPI specification through Model Context Protocol (MCP), automatically generating tools from API endpoints and supporting multiple authentication methods.

Enables natural language interaction with any Swagger/OpenAPI-defined API, allowing discovery, parameterized calls, and automated testing through large language models.

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.

Brings OpenAPI/Swagger documentation into AI assistants, enabling endpoint discovery, deep inspection, cURL generation, and TypeScript type generation.

Converts any Swagger/OpenAPI specification into an MCP server, enabling AI assistants to intelligently query API endpoints, schemas, and generate code examples.