"Exploring OpenAPI/Swagger Specifications" matching MCP servers:

Enables AI to scan and query local OpenAPI/Swagger documentation, listing API groups and endpoints, and generating TypeScript type definitions for specific endpoints.

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.

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

A read-only MCP server for navigating OpenAPI / Swagger specifications, enabling agents to search endpoints, retrieve parameters and schemas, and inspect authentication without loading the full spec into context.

Enables natural language exploration of OpenAPI/Swagger specs, allowing users to register APIs, browse endpoints, describe schemas, and detect breaking changes through conversational queries.

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.

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 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.

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.

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

A powerful MCP server for querying and processing large Swagger/OpenAPI JSON documents, enabling LLMs to efficiently access API documentation without loading entire files.

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.

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.

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.

An MCP server that crawls and parses OpenAPI JSON or Swagger UI URLs to provide concise endpoint summaries. It enables LLMs to discover and interact with API interfaces by extracting methods, paths, and operation IDs from documentation sources.

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).

Enables AI assistants to discover, search, and interact with REST APIs by parsing OpenAPI/Swagger specifications with intelligent fuzzy search across endpoints, supporting both local and remote API sources.

Enables users to convert any OpenAPI or Swagger spec URL into a hosted MCP server on the Agentic Tools Platform, with tools for analyzing, trimming, and managing OpenAPI specifications.