"A tool to manage and process a list of Swagger API endpoints" matching MCP servers:

A Bun-based MCP server that allows AI models to query Swagger/OpenAPI documentation from local files or remote URLs. It enables users to search for APIs, retrieve detailed endpoint definitions, and fetch schemas to facilitate code generation and API integration.

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.

Parses Swagger 2.0 and OpenAPI 3.x specifications, exposing API endpoints, schemas, and authentication through MCP tools with local caching to reduce token usage.

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.

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

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

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.

Enables AI to interact with multiple Swagger/OpenAPI specifications by listing endpoints, exploring models, and generating TypeScript code. It centralizes the management of various APIs through a configuration file, allowing for seamless integration of documentation into AI workflows.

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 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.

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.

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.

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.

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.

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.

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).

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

Provides AI assistants with access to OpenAPI specifications, enabling API discovery, schema retrieval, and direct API execution with support for OAuth 2.0 and other authentication methods.

Enables AI agents to explore configured Swagger and OpenAPI services, inspect operation contracts, and send real requests to APIs using a fixed set of tools.

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.

Enables Trae IDE to parse and query Swagger/Knife4j API documentation by converting JSON format interface documents into a searchable text format, allowing developers to efficiently retrieve API information through natural language queries.

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.

Enables AI coding agents to discover and use Swagger/OpenAPI operations, schemas, and endpoints from configured sources, with optional API request execution and environment-based authentication.

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

An MCP server that exposes an OpenAPI interface matching tool via Streamable HTTP Transport, allowing clients to match JSON against an OpenAPI specification.

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.

A Management Control Plane server that allows users to explore and analyze Swagger/OpenAPI specifications, providing features such as endpoint exploration, schema analysis, and customizable response formatting, with support for authentication and integration with tools like Claude.