What is the primary function of swagger-mcp?

swagger-mcp is designed to scrape Swagger UI by extracting the swagger.json file and dynamically generating well-defined MCP tools at runtime.

How does swagger-mcp enhance AI model integration?

By dynamically defining tools based on Swagger, swagger-mcp allows AI models to seamlessly integrate with external data sources and tools, improving their functionality.

What are the prerequisites for using swagger-mcp?

To use swagger-mcp, you need an LLM Model API Key or Local LLM and any MCP Client.

How can I support the swagger-mcp project?

You can support the project by liking and sharing the demo post on LinkedIn, leaving feedback, and connecting with the developer for future updates.

Is swagger-mcp compatible with multiple LLM models?

Yes, swagger-mcp supports various LLM models, including OpenAI, Claude, and Ollama models.