Converts OpenAPI and Swagger specifications into callable tools for AI assistants with no configuration or code.
Sponsored
Empower AI assistants like Claude to seamlessly interact with any REST API by transforming OpenAPI/Swagger specifications into Model Context Protocol (MCP) tools. This innovative solution eliminates the need for manual tool definitions or code generation, offering zero-config setup. It automatically handles OpenAPI 3.x and Swagger 2.0 specs, generating LLM-optimized flat parameter schemas that significantly enhance tool-calling accuracy. Key features include built-in support for various authentication types (API key, Bearer, OAuth2), automatic retries with exponential backoff for transient errors, and intelligent response truncation to stay within LLM context limits.
주요 기능
01Generates LLM-optimized flat parameter schemas for improved tool-calling accuracy
02Automatic retries with exponential backoff for 429/5xx responses
03Truncates API responses to fit within LLM context limits, with advanced Pro features for smart handling
04Built-in support for API key, Bearer token, and OAuth2 client credentials authentication
05Zero-config setup for OpenAPI 3.x and Swagger 2.0 specifications
060 GitHub stars
사용 사례
01Streamline the development of AI applications by automatically creating callable tools from API documentation.
02Enable Claude Desktop and other AI assistants to call any REST API defined by an OpenAPI/Swagger spec.
03Quickly expose existing internal or third-party APIs to large language models for automation and interaction.
