Browse and discover Model Context Protocol compatible clients.
Fun for Kids AI agent toolkit for Claude Code, Codex, and MCP clients
🤖 Build engaging AI chat experiences with Ultralytics LLM, a lightweight JavaScript client for web applications, delivered via jsDelivr with zero dependencies.
Supercharge Claude Code in Telegram with a smarter plugin for stronger chat control, better workflow, and more useful tools
Curated MCP server hub — browse, search, and install 40+ MCP servers across AI clients
Integrate WhatsApp with AI agents using a native MCP server that offers tools, resources, and real-time notifications through TypeScript and Docker.
A quickstart repo for building a simple MCP weather server that exposes two tools—`get-alerts` and `get-forecast`—to fetch live National Weather Service alerts and forecasts, with step-by-step setup and configuration to plug into Claude for Desktop (or any other MCP client).
Manage concurrent LLM requests with priority queues, multi-model routing, fault tolerance, and semantic caching for efficient AI workflows.
Build interactive charts, diagrams, mockups, and widgets with an MCP server for on-demand UI generation guidelines
Build production-ready, AI-native MCP servers with NitroStack, a TypeScript framework featuring decorators, dependency injection, and widgets.
This repository provides a client implementation for the Model Context Protocol (MCP) using the OpenAI API, offering real-time communication with MCP servers through a simple interface. This repository provides a
Created a GenAI tool that helps users craft tailored resumes based on uploaded job descriptions and experience. Used Anthropic’s Claude for resume generation and Pinecone for skill-matching recommend
Generate tool-calling models quickly and accurately from API definitions to streamline and improve your development workflow.
Unify MCP servers behind one endpoint with lazy loading, Python plugins, and role-based filtering for lower overhead and simpler config
A Python-based AI tool that optimizes resumes using multiple AI providers (Mistral, OpenAI, Anthropic, DeepSeek). It provides both a CLI interface and a Flask-based RESTful API to enhance resume conte
Provide academic paper search and curation across platforms using the Model Context Protocol for seamless multi-client integration.