Openapitools Mcp
What is Openapitools Mcp
openapitools-mcp is a collection of Model Context Protocol (MCP) servers generated using OpenAPITools. It allows APIs to be exposed in a way that large language models can understand and interact with directly.
Use cases
Use cases include integrating APIs into AI applications, developing AI-driven tools, and enhancing existing software with AI capabilities through direct API interaction.
How to use
To use openapitools-mcp, download the MCP servers generated from your OpenAPI specifications. You can run them locally or self-host them, and use them in compatible tools like Cursor or Claude Desktop.
Key features
Key features include the ability to use your own APIs with AI agents, easy integration with LLM IDEs, and the capability to run servers locally or self-hosted.
Where to use
openapitools-mcp can be used in various fields, particularly in AI development, software integration, and any application requiring interaction between APIs and large language models.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Openapitools Mcp
openapitools-mcp is a collection of Model Context Protocol (MCP) servers generated using OpenAPITools. It allows APIs to be exposed in a way that large language models can understand and interact with directly.
Use cases
Use cases include integrating APIs into AI applications, developing AI-driven tools, and enhancing existing software with AI capabilities through direct API interaction.
How to use
To use openapitools-mcp, download the MCP servers generated from your OpenAPI specifications. You can run them locally or self-host them, and use them in compatible tools like Cursor or Claude Desktop.
Key features
Key features include the ability to use your own APIs with AI agents, easy integration with LLM IDEs, and the capability to run servers locally or self-hosted.
Where to use
openapitools-mcp can be used in various fields, particularly in AI development, software integration, and any application requiring interaction between APIs and large language models.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
🧠 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.
🔧 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
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
