Swagger Loader FAQs

Name: Swagger Loader
Author: danishjsheikh

Question 1

What is Swagger Loader?

Accepted Answer

Swagger Loader dynamically generates MCP (Model Context Protocol) tools at runtime by scraping Swagger UI and extracting the swagger.json file. This allows you to automatically define tools for your MCP clients based on your API definitions.

Question 2

How does Swagger Loader work?

Accepted Answer

It scrapes a Swagger UI endpoint, extracts the swagger.json file, and uses that information to define MCP tools. These tools can then be used by MCP clients for tool selection and interaction with APIs.

Question 3

What are the prerequisites for using Swagger Loader?

Accepted Answer

You need access to an LLM model API key (OpenAI, Claude, or Ollama) or a locally running LLM, and an MCP client (e.g., mark3labs - mcphost).

Question 4

How do I install and configure Swagger Loader?

Accepted Answer

You can install it using `go install github.com/danishjsheikh/swagger-mcp@latest`. Configuration involves adding a swagger_loader entry to your .mcp.json file, specifying the command and arguments (the URL of your swagger/doc.json file).

Question 5

What LLM models does Swagger Loader support?

Accepted Answer

Swagger Loader supports OpenAI, Claude, and Ollama models, providing flexibility in choosing the LLM that best suits your needs.

Swagger Loader

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