SW

swagger-mcp

mcp server which will dynamically define tools based on swagger

Created by danishjsheikh2025/03/27
0.0 (0 reviews)

What is swagger-mcp?

what is swagger-mcp? swagger-mcp is a tool designed to scrape Swagger UI by extracting the swagger.json file and dynamically generating well-defined MCP tools at runtime. These tools can be utilized by the MCP client for further tool selection. how to use swagger-mcp? To use swagger-mcp, ensure you have the required dependencies, install it using Go, and configure it with your MCP client by including the necessary settings in the .mcp.json file. key features of swagger-mcp? Dynamic generation of MCP tools based on Swagger definitions. Integration with various LLM models for enhanced functionality. Easy setup and configuration for seamless use with MCP clients. use cases of swagger-mcp? Automating the generation of tools for API integration. Enhancing backend services with dynamically defined tools. Facilitating the development of applications that require real-time API interactions. FAQ from swagger-mcp? What dependencies are required to use swagger-mcp? You need an LLM Model API Key or a local LLM, and any MCP client like mark3labs - mcphost. How do I install swagger-mcp? You can install it using the command: go install github.com/danishjsheikh/swagger-mcpo@latest. Can swagger-mcp work with any MCP client? Yes, it is designed to integrate with any MCP client that supports the required configuration.

As an MCP (Model Context Protocol) server, swagger-mcp enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

How to use swagger-mcp

To use swagger-mcp, ensure you have the required dependencies, install it using Go, and configure it with your MCP client by including the necessary settings in the .mcp.json file. key features of swagger-mcp? Dynamic generation of MCP tools based on Swagger definitions. Integration with various LLM models for enhanced functionality. Easy setup and configuration for seamless use with MCP clients. use cases of swagger-mcp? Automating the generation of tools for API integration. Enhancing backend services with dynamically defined tools. Facilitating the development of applications that require real-time API interactions. FAQ from swagger-mcp? What dependencies are required to use swagger-mcp? You need an LLM Model API Key or a local LLM, and any MCP client like mark3labs - mcphost. How do I install swagger-mcp? You can install it using the command: go install github.com/danishjsheikh/swagger-mcpo@latest. Can swagger-mcp work with any MCP client? Yes, it is designed to integrate with any MCP client that supports the required configuration.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.

Use Cases for this MCP Server

  • No use cases specified.

MCP servers like swagger-mcp can be used with various AI models including Claude and other language models to extend their capabilities through the Model Context Protocol.

About Model Context Protocol (MCP)

The Model Context Protocol (MCP) is a standardized way for AI agents to communicate with various services and tools. MCP servers like swagger-mcp provide specific capabilities that can be accessed through a consistent interface, making it easier to build powerful AI applications with complex workflows.

Browse the MCP Directory to discover more servers and clients that can enhance your AI agents' capabilities.