"Swagger" matching MCP servers:

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

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.

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.

Connects AI agents with Swagger/Knife4j API documentation, enabling real-time retrieval, search, and structured understanding of API interfaces, parameters, and schemas.

Automatically generates TypeScript API code from Swagger/OpenAPI documentation. Supports listing services, tags, endpoints, and generating code by tag or endpoint.

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

A TypeScript-based MCP server that integrates with Swagger/OpenAPI specifications to expose API endpoints as tools for Large Language Models (LLMs), enabling natural language interaction with any OpenAPI-compliant API.

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

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

Enables AI assistants to interact with Spring Boot backend APIs through Swagger/OpenAPI documentation, allowing listing, describing, and generating frontend code for endpoints.

An MCP server that allows users to query and retrieve request and response JSON schemas directly from Swagger/OpenAPI specifications. It supports automatic reference resolution and path parameter matching to help AI models interact with API interfaces.

Turns any OpenAPI/Swagger specification into a functional MCP server, dynamically exposing API endpoints as LLM tools or generating standalone Python code.

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

Dynamically converts any Swagger 2.0 or OpenAPI 3.x specification into callable MCP tools, enabling AI clients to interact with API endpoints.

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 generates MCP servers from OpenAPI/Swagger specifications, enabling users to interact with any REST API through natural language with flexible endpoint filtering and authentication support.

OpenAPI-to-MCP example server generated with MCPForge. Demonstrates how REST APIs can be converted into production-ready MCP servers for Claude, Cursor, Windsurf, and other MCP clients.

Provides seamless access to 32 Acceleronix PaaS OpenAPIs for device management, data storage, and more, with intelligent tool management and Bearer token authentication.

Turn any OpenAPI / Swagger spec into an agent-ready MCP server.