Allows conversion of OpenAPI/Swagger specifications into MCP-compatible servers that can be used to expose APIs for AI interaction
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Stock Market Research Assistantwhat are the top 5 tech stocks by market cap today?"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
🧠 MCP Servers Built with OpenAPITools
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.
🚀 What is 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:
Use your own APIs with AI agents.
Run them locally or self-hosted.
Use them for free inside LLM IDEs like Cursor or tools like Claude Desktop.
Related MCP server: any-chat-completions-mcp
🔧 Tools Used
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.
📁 Repo Structure
This server cannot be installed
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.