Gradio-powered AI agent endpoint with Claude Desktop integration and Hugging Face Spaces deployment for interactive context-driven conversations.

This project demonstrates using Figma MCP (Model Context Protocol) integration with GitHub Copilot with Claude to generate a complete website from a Figma design.

TypeScript-based weather data provider, delivering alerts and forecasts via stdio with NWS integration and robust parameter validation for seamless client use.

Demonstrates cross-source tool overrides through a compact tester that simulates conflicting tools from multiple providers.

Next.js 15 app with an integrated AI agent powered by CopilotKit and a context-aware backend client, featuring a responsive sidebar and Tailwind UI.

Zero-burden MCP server enabling CRUD on MySQL with read-only mode and optional query plan checks, DSN support, minimal runtime

Kotlin Multiplatform mobile client with pluggable providers for seamless AI tool integration on Android.

Real-time Airthings data insights via MCP with Claude Desktop integration.

Model Context Protocol (MCP) server for Avexa.ai, enabling real-time context orchestration between AI models and internal apis.

Cloud-agnostic analytics SDK for MCP servers enabling seamless event tracking and tool execution metrics.

Next.js MCP sample using the Vercel Adapter, Redis SSE transport, and Fluid compute for scalable, modular prompts.

Next.js sample using Vercel adapter with Redis-backed SSE and Fluid Compute for rapid, scalable tool exposure.

Serverless context tooling on Vercel using Supabase with typed quote-editing tools, direct API fallbacks, and edge-friendly data handling.

Next.js-based MCP example using Vercel adapter with SSE transport, Redis backend, and Fluid Compute support.

Comprehensive, example-rich guide showing how AI models connect to data sources and tools via a standardized interface, with TypeScript/Python demos and real-world integrations.

Lightweight toolset enabling fast, flexible recipe queries by name, ingredients, or cuisine with straightforward Model Context Protocol integration.

Index is the single source of truth for Model Context Protocol (MCP) packages.

Educational web app demonstrating interactive tool usage and data access via an intuitive interface.

Free web search with multilingual support, safety controls, and flexible query filters for LLM tooling.

Discussions and README for MCP Registry (Model Context Protocol)

Semantic Kernel Model Context Protocol Client and Server Demo

Lightweight framework enabling real-time sharing of contextual memory across language models, with pluggable backends and scalable memory management.

Next.js-based MCP template featuring Redis-backed state, fluid compute support, and a ready-made client for quick testing on Vercel. It emphasizes type safety, modular prompts, and straightforward deployment, enabling rapid experimentation and scalable AI agent orchestration.

Redis-backed context engine on Vercel using Functions, enabling scalable tool orchestration with a TypeScript SDK.