Create a new project using predefined templates like FastAPI or React-Vite; specify a project name and template to generate a structured starter project.
Find and filter API endpoints using keywords, regex patterns, tags, or HTTP methods to quickly locate specific operations within your FastAPI application documentation.
Retrieve detailed player information by ID using a FastAPI-based MLB data integration tool. Enables access to baseball statistics and player data for AI applications and analysis.
Scan and identify vulnerabilities in code libraries across multiple ecosystems using OSINT sources. Generate detailed security reports with severity levels and actionable recommendations.
Generate API call examples in multiple formats like JSON, cURL, Python, and JavaScript based on OpenAPI specifications to help developers understand and test API endpoints.
A zero-configuration tool that automatically converts FastAPI endpoints into Model Context Protocol (MCP) tools, enabling AI systems to interact with your API through natural language.
A zero-configuration tool that automatically exposes FastAPI endpoints as Model Context Protocol (MCP) tools, allowing LLM systems like Claude to interact with your API without additional coding.
Production-ready API server template integrating FastAPI with Model Context Protocol (MCP) for LLM integration, structured logging, and comprehensive testing.