OpenAPI Integrator
Converts OpenAPI specifications into Model Context Protocol (MCP) tools, enabling AI models to directly call these interfaces.
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This Go language implementation bridges OpenAPI-compliant APIs with the Model Context Protocol (MCP), allowing developers to seamlessly expose existing interfaces as MCP tools. Its primary goal is to enable AI models to directly discover and interact with these APIs through simple configuration, streamlining the integration of external services into AI workflows. The project offers a flexible framework with support for various transport protocols, configurable middleware, and session management.
Características Principales
- Flexible configuration via environment variables or .env files
- Multiple transport protocol support (stdio, SSE, HTTP stream)
- Automatic OpenAPI to MCP tool conversion
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- Configurable middleware for logging, rate-limiting, and custom logic
- Built-in session management for custom pre/post-session logic
Casos de Uso
- Exposing existing RESTful APIs (defined by OpenAPI) as callable tools for AI models
- Automating the generation of MCP tools from API specifications for rapid development
- Integrating diverse third-party services into an MCP-enabled AI ecosystem
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