A CLI tool that converts OpenAPI specifications into MCP-compliant servers, enabling AI models to easily discover and utilize web services.
Added on:
Created by:
Apr 27 2025
A CLI tool that converts OpenAPI specifications into MCP-compliant servers, enabling AI models to easily discover and utilize web services.
Added on:
Created by:
Apr 27 2025
Jacer OMRI
Featured
What is OpenAPI MCP Proxy?
This project provides a command-line interface to generate MCP servers from OpenAPI specifications, allowing AI agents to interact with RESTful APIs via a unified protocol. It proxies incoming requests to the actual API, translating between MCP and REST standards. The tool simplifies integration of external services with AI applications by offering automatic server generation, making it accessible for developers to connect OpenAPI-defined services with AI tools without extensive configuration. It supports installation via npm, flexible options for specification paths, target URLs, and port configurations, and testing tools like MCP Inspector and VS Code integrations for debugging and interaction.
Who will use OpenAPI MCP Proxy?
- AI developers
- API providers
- AI researchers
- Integration engineers
- Product teams building AI-powered applications
How to use the OpenAPI MCP Proxy?
- Step 1: Install the tool using npm or yarn
- Step 2: Prepare your OpenAPI specification file
- Step 3: Run the command to start the MCP server with your spec and target URL
- Step 4: Use MCP Inspector or VS Code to test and interact with the server
- Step 5: Integrate the MCP server into your AI workflows or applications
OpenAPI MCP Proxy's Core Features & Benefits
The Core Features
- Converts OpenAPI specs into MCP servers
- Proxies and translates requests between MCP and REST
- Supports custom specifications and target URLs
- Provides testing tools via MCP Inspector and VS Code
The Benefits
- Enables seamless AI integration with REST APIs
- Simplifies protocol translation and server setup
- Supports rapid deployment of API services for AI applications
- Facilitates discovery and utilization of external tools by AI models
OpenAPI MCP Proxy's Main Use Cases & Applications
- AI agents interacting with external REST APIs
- Automated integration of API services in AI workflows
- Development of AI-powered applications that utilize various web services
- Testing and debugging of MCP servers with OpenAPI specs
FAQs of OpenAPI MCP Proxy
Developer
- JacerOmri
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