OpenAPI to Model Context Protocol (MCP)

Created By

gujorda year ago

The OpenAPI to Model Context Protocol (MCP) proxy server bridges the gap between AI agents and external APIs by dynamically translating OpenAPI specifications into standardized MCP tools. This simplifies the integration process, significantly reducing development time and complexity associated with custom API wrappers.

# python

# ai

Overview Content Tools Comments

Overview

What is OpenAPI-MCP?

OpenAPI-MCP is a proxy server that bridges AI agents and external APIs by translating OpenAPI specifications into standardized Model Context Protocol (MCP) tools, simplifying integration and reducing development complexity.

How to use OpenAPI-MCP?

To use OpenAPI-MCP, clone the repository, install the required packages, configure the environment variables, and run the server using the provided commands.

Key features of OpenAPI-MCP?

Dynamic tool generation from OpenAPI endpoints.
Supports multiple transport methods including stdio and Server-Sent Events (SSE).
OAuth2 support for secure interactions.
Dry run mode for safe API simulations.
JSON-RPC 2.0 compliance for robust communication.
Integration with popular AI orchestrators like Cursor and Windsurf.

Use cases of OpenAPI-MCP?

Seamless integration of AI agents with various APIs.
Rapid development of applications requiring API interactions.
Simplifying the process of creating custom API wrappers.

FAQ from OpenAPI-MCP?

What is the purpose of OpenAPI-MCP?

It simplifies the integration of AI agents with external APIs by standardizing communication through MCP.

Is OpenAPI-MCP easy to set up?

Yes! It requires cloning the repository and configuring a few environment variables.

Can OpenAPI-MCP handle multiple APIs?

Yes! It can dynamically generate tools for multiple OpenAPI specifications.

Project Info

Created At

a year ago

Updated At

a year ago

Author Name

gujord

Star

Language

Python

License

MIT license

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