3 个仓库
Tutorials and documentation on mapping or routing specific API endpoints to backend logic.
Explore 3 awesome GitHub repositories matching web development · API Endpoint Mapping Guides. Refine with filters or upvote what's useful.
Firecrawl is a web data extraction platform designed to convert unstructured web content into clean, LLM-ready formats like markdown or JSON. It functions as an autonomous web crawler and scraper, capable of mapping entire domains, performing recursive navigation, and executing complex data gathering tasks. By leveraging headless browser orchestration, the system handles dynamic, JavaScript-heavy pages to ensure comprehensive data capture. The platform distinguishes itself through its focus on agentic workflows, providing a programmatic interface that allows autonomous agents to perform live
Details the architecture for routing web extraction tasks through standardized programmatic interfaces.
Vercel is a cloud platform for building, deploying, and scaling web applications. It provides a unified infrastructure that automates the build process by detecting project frameworks and distributing static and dynamic content through a global content delivery network. The platform executes application logic using serverless functions that scale automatically based on real-time traffic demand. The platform distinguishes itself through a centralized AI gateway that proxies requests to multiple model providers, enabling standardized authentication, observability, and cost tracking. It supports
Maps directory-based file structures to server-side API routes for handling incoming web requests.
This framework serves as a bridge between backend services and AI agents by implementing the Model Context Protocol. It enables developers to expose existing application logic and web endpoints as standardized tools, allowing AI models to discover, interact with, and execute backend functions through a unified interface. The project distinguishes itself by automatically converting application request and response models into protocol-compliant schemas, ensuring that AI agents receive accurate functional context. It supports a transport-agnostic architecture that facilitates real-time bidirect
Maps application routes to specific URL paths to organize service accessibility for external agents.