"Swagger" matching MCP servers:

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.

Turns any SpringDoc-powered Spring Boot API into a production-ready MCP gateway, exposing existing controllers as safe MCP tools with discovery, validation, response shaping, and workflow orchestration.

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.

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.

Dynamically exposes any OpenAPI/Swagger API as tools for AI assistants, automatically generating MCP tools from OpenAPI specs with authentication support.