mcp-openapi-schema-explorer and sufetch
The OpenAPI/Swagger spec explorer (A) and the AI-driven API exploration client (B) are complements, as the former provides token-efficient access to specs via MCP Resource Templates, which the latter can leverage to generate type-safe OpenAPI clients for its AI-driven exploration.
About mcp-openapi-schema-explorer
kadykov/mcp-openapi-schema-explorer
MCP server providing token-efficient access to OpenAPI/Swagger specs via MCP Resource Templates for client-side exploration.
This tool helps developers or AI agents understand complex API documentation (OpenAPI/Swagger specifications) without needing to load the entire document. It takes a local file path or remote URL to an OpenAPI or Swagger specification as input and allows an MCP client to explore specific parts of the API structure on demand. The output is structured information about the API, tailored for developers building against APIs or AI assistants interacting with them.
About sufetch
productdevbook/sufetch
Type-safe OpenAPI clients with MCP server for AI-driven API exploration
SuFetch helps software developers build reliable applications faster by generating fully-typed code for interacting with external web services. You provide an OpenAPI specification (a blueprint for an API), and SuFetch outputs TypeScript code that ensures your API calls are always correct, with built-in autocomplete and error checking. Developers working with cloud platforms like DigitalOcean or Hetzner, or identity services like Ory, will find this especially useful.
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