Cloudflare MCP Server Example

Put performance and error data directly in the hands of your AI assistant.

Access financial market data: realtime & historical stock, ETF, options, forex, crypto, commodities, fundamentals, technical indicators, & more

A base template for creating new MCP servers, designed for easy containerized deployment with Docker.

Provides up-to-date, version-specific documentation and code examples for libraries directly into your prompt.

A fast, Pythonic framework for building MCP servers and clients.

Powerful tool for the Unity Editor that gives AI Agents ability to perform any action using Unity Editor API, like modification of scripts, scenes, prefabs, assets, configuration and more.

Provides instant access to Apple's Human Interface Guidelines, with content auto-updated periodically.

A high-performance MCP server for comprehensive options order flow analysis.

A lightweight, file-based server for managing and serving prompts via stdio.

Deep code indexing for AI agents — 25 MCP tools: hybrid FTS5 + embedding search, call graphs, git blame/hotspots, build system analysis. Multi-repo workspaces, GPU-accelerated semantic search, 10 languages. Fully local, zero cloud dependencies.

A bridge between the Unity game engine and AI assistants using the Model Context Protocol (MCP).

A comprehensive crash course on the Model Context Protocol (MCP), covering everything from basic concepts to building production-ready MCP servers and clients in Python.