Lightweight Java client enabling real-time context exchange with pluggable transports and extensible adapters for flexible integration.

A repository for MCP (Model Context Protocol) practice and examples

Real-time Discord alerts with customizable event messages and straightforward webhook-based configuration.

A Google Search Console MCP server for managing sites, sitemaps, and analytics with hourly data support and Claude-ready integration.

MCP (model context protocol) server to fetch latest news

Une collection organisée de serveurs MCP (Model Context Protocol)

Lightweight, event-driven transport via AWS Lambda for scalable context sharing and remote calls, with auto-scaling and API gateway integration.

Slack-connected multi-agent platform delivering Shopify data insights with self-validation and persistent memory for repeatable BI workflows.

Unified interface enabling diverse tool integration, emphasizing modular, auditable automation across storage, version control, APIs, and system tasks.

FastMCP v2 stands out by offering decorator-based tool exposure, proxying, composition, and automatic OpenAPI/FastAPI generation for rapid, Pythonic MCP development.

PagerDuty integration enabling on-call queries via Claude with simple API key setup and configuration.

GitHub-backed Model Context Protocol operations enabling repository search, content retrieval, and file updates.

Lightweight tool delivering US state alerts and location-based forecasts with async requests and readable output.

Lightweight Node.js implementation with example tools and inspector support for fast, interactive development and discovery.

LLM Model Context Protocol (MCP) demo using Spring AI

FastAPI-based context processor linking a local Llama model with GitHub repo file listing to enrich queries.

Exercise: Integrate Model Context Protocol with GitHub Copilot

Lightweight TypeScript module with pluggable context adapters enabling dynamic, protocol-compliant model interactions.

Lightweight TypeScript todo manager with add, delete, complete, and retrieval operations, designed for local development and easy inspector integration.

A standardized protocol that lets AI understand development context and integrate with tools and GitHub.

Loads CSV-based medical reports, exposes structured questions and answers, with async access and remote retrieval via API.

Strava-connected context enabling AI assistants to securely access and analyze fitness data.

Exercise: Integrate Model Context Protocol with GitHub Copilot

A Model Context Protocol (MCP) server enabling AI assistants to access and manipulate Smartsheet data via a unified API.