Repository for Model Context Protocol Servers

Real-time weather data for the United States by connecting to the NWS API, delivering alerts and forecasts to AI models.

Kotlin-based Obsidian integration enabling AI agents to read and modify notes via the Local REST API with type-safe, extensible tooling.

Open protocol enabling AI apps to orchestrate external tools and data via standardized prompts, tools, and resources for scalable integration.

SSE-based PostgreSQL integration with stdio and SSE clients, enabling tool discovery, execution, and resource access for data tasks.

Exploring the model context protocol.

MCP Models Context Protocol Server

Model Context Protocol - APOD Nasa

Provides real-time US weather alerts by state and detailed forecasts by coordinates, with clean, easily consumable outputs from the National Weather Service.

Python-based toolkit enabling UV-backed synchronization and automatic matching for Model Context Protocol workflows.

A lightweight MCP server designed for notebook-friendly context orchestration with pluggable adapters for routing and state management.

Model Context Protocol ( MCP )

Deploy an MCP server on Vercel with Redis-backed state and Fluid Compute via the TypeScript SDK.

Exhibe get-repo-info para GitHub con integración de API, validación con Zod, manejo de errores y compatibilidad con WindSurf Editor y otros clientes.

model context protocol

Universal plug‑and‑play conduit enabling secure AI data access via a centralized MCP server with standardized adapters and context negotiation.

An Azure OpenAI GPT-4o powered chatbot that fuses context from Outlook, local files, and Google Drive via a Model Context Protocol-inspired design.

A lightweight WebSocket-based context manager with per-session state and simple command execution for rapid AI prototyping.

Model Context Protocol MCP

Structured, flexible context exposure for LLMs with resources, tools, prompts, and data sources, plus Claude Desktop integration and debugging tooling.

A secure, real-time, bidirectional interface that standardizes connectivity between AI systems and external tools, APIs, and data sources.

Demo Bun-based MCP server showcasing time-aware, model-agnostic data linkage for dynamic, context-driven conversations.

TypeScript implementation offering PayPal payments, subscriptions, invoices, and user profiles with automatic token refresh and robust validation.

Python-based, async WebSocket integration using FastAPI and Pydantic for context-aware AI interactions, designed for clarity and educational experimentation.