"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.

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.

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.

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

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

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.

Generates TypeScript types for API functions from Swagger/OpenAPI documents, enabling AI IDEs to automatically create type definitions.

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

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.

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.

Enables local analysis of OpenAPI 3 and Swagger 2 JSON/YAML spec files on disk, with no remote fetching of specs or credentials. It groups endpoints by tag, flags operations that appear to lack security, lists deprecated operations, and produces short markdown cheat sheets for agents.

An MCP server that lets Claude query, search, and explore OpenAPI specifications from local files. Supports OpenAPI 3.x and Swagger 2.0.

Enables QA/SDET engineers to test APIs by ingesting Swagger/OpenAPI specs and Postman collections, generating and executing tests in multiple languages and frameworks with real-time progress tracking.

Enables MCP clients to interact with the Strava REST API through tools generated from Strava's official Swagger spec, supporting OAuth, activity and athlete data retrieval, and configurable write/delete operations.

Lightweight terminal MCP protocol conversion gateway engine that automatically converts any OpenAPI/Swagger REST API into MCP-compatible tools for AI coding assistants like Claude Code and Cursor.

A vendor-neutral MCP server that lets coding agents search and understand OpenAPI/Swagger documents via stdio tools, without calling real backend APIs.

Enables AI agents to run local, CPU-only inference for decision tasks such as choosing among labels, estimating yes/no probability, and scoring ordered descriptions. Exposes these capabilities through MCP tools, REST/Swagger endpoints, and a browser test console without GPUs, paid APIs, or databases.

An MCP server that enables AI agents to explore, search, and query API definitions from OpenAPI/Swagger JSON files.

Serves any OpenAPI 3.x/Swagger 2.x API as a local MCP server over stdio, converting every operation into a tool that proxies requests to the upstream API with configurable headers and fixed parameters.