Frequently Asked Questions
What is the MCP Server? The MCP Server is a tool designed to parse Swagger/OpenAPI documents and generate TypeScript type definitions and API client code, facilitating integration with AI models.
How does the MCP Server handle large API documents? The server uses memory and file system caching, lazy loading, and incremental parsing to efficiently process large documents.
Can the MCP Server be integrated with AI models? Yes, the MCP Server provides functionalities via the MCP protocol that can be easily integrated with large language models (LLMs).
What frameworks does the MCP Server support for API client generation? The server supports various frameworks including Axios, Fetch, and React Query for API client code generation.
How can I customize the MCP Server settings?
Server settings can be customized using the swagger-mcp-config.json file, allowing for tailored configurations to meet specific project needs.
Swagger MCP Server
Project Details
- tuskermanshu/swagger-mcp-server
- swagger-mcp-server
- Last Updated: 4/11/2025
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