GraphQL

MCP stands for Model Context Protocol. It is an open standard that lets AI clients connect to external tools, data sources, and prompts through a single, consistent interface. Anthropic introduced MCP in late 2024, and it has since been adopted by Claude Desktop, Cursor, Cline, VS Code, Windsurf, and a growing list of community clients. An MCP server is a small program that exposes three things: tools the model can call, resources the client can read, and prompts that help users accomplish common tasks. An MCP client discovers those capabilities and decides when to invoke them. Transport is usually stdio for local servers or Server-Sent Events for remote ones. For developers, MCP removes the need to build a custom integration for every API. You write one server, and any compatible client can use it. For users, it means AI assistants can securely access files, databases, SaaS tools, and web services without each client reinventing the wheel.

Designs RESTful or GraphQL APIs with comprehensive specs, or reviews existing APIs against industry best practices and standards.

Design robust, scalable REST and GraphQL APIs following industry best practices with comprehensive documentation, versioning strategies, and error handling patterns.

Official Firecrawl MCP Server - Adds powerful web scraping and search to Cursor, Claude and any other LLM clients.

An open standard that lets AI assistants connect to external data sources and tools through a common interface.