MCP servers generated with OpenAPITools enable seamless integration of APIs with large language models, allowing AI agents to directly understand and interact with APIs for local or self-hosted use in LLM IDEs and AI platforms.
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This repository contains ready-to-use MCP (Model Context Protocol) servers generated using OpenAPITools — a platform to convert your OpenAPI/Swagger specs into AI-compatible tools and servers.
Each folder here represents an individual MCP server built from a specific OpenAPI spec. These MCP servers can be used directly in tools like Cursor, Claude Desktop, or any other platform that supports MCP.
Model Context Protocol (MCP) allows you to expose your APIs in a way that large language models can understand and interact with directly — without writing complex wrappers.
OpenAPITools supports generating MCP servers out of the box. This means you can:
All MCP servers here are generated using:
👉 OpenAPITools
Docs: https://docs.openapitools.com/mcp
You can also generate your own tools from Swagger/OpenAPI specs and download them as MCP servers.
Model Context Protocol server enabling efficient local search of AWS Lambda Powertools documentation...
Interactive chat interface leveraging Model Context Protocol to enable natural language queries and ...
Provides real-time and historical stock market data, customizable intraday and daily intervals, and ...
Bridges Root Signals API with Model Context Protocol clients to enable AI assistants and agents to p...
Provides Model Context Protocol (MCP) integration enabling large language models to perform advanced...
