MCP demos

ModelContextProtocol Demo

Lightweight bridge enabling LLMs to safely execute real-world tasks via structured tool calls with modular, transparent execution.

MCP Model Context Protocol

Smart Telegram bot combines group link collection with a personal RAG assistant, via Playwright automation, ChromaDB, and context-aware memory.

A powerful NestJS backend that bridges OpenAI's Agent framework with MCP (Model Context Protocol) servers, enabling AI assistants to execute real-world actions through natural language requests.

Template enabling modular agent collaboration via MCP and A2A, with local STDIO and remote HTTP transport for tool access and memory integration.

A modular MCP-powered AI system orchestrating specialized agents to deliver grounded, explainable answers with context-aware memory.

Web-based platform to deploy, manage, and monitor MCP instances from GitHub with containerization and cloud deployment.

CLI tool enabling GitHub operations and OpenAI queries leveraging contextual protocol with secure environment key management.

Claude AI connects NOAA tide data with AI agent workflows for proactive coastal insights and alerts.

Implement an MCP (Model Context Protocol) server with an AI agent using the OpenAI SDK and an OpenRouter base URL,

This is a personal playground using LangChain, NRP Nautilus hosted LLMs, and Model Context Protocol to interact with SHAREOK.org

AI-assisted SVG generation with style-aware prompts, best practices, and practical guidance tailored for Cursor IDE.

Semantic SOP retrieval with Italian multilingual embeddings, category filtering, and fast vector search via ChromaDB and RAG.

A light-weight, self-monitoring assistant using webcam, screen capture, and voice prompts for focused study sessions.

Type-safe GitHub resource management suite delivering repos, issues, PRs, branches and releases with robust validation and multi-token support.

Comprehensive API-driven tooling to manage GitHub Actions workflows and runs across repositories with creation, inspection, triggering, and usage insights.

Windows-focused bootstrap to rapidly enable MCP integration with Claude Desktop, including filesystem and GitHub access.

Local automation harness enabling LLM-driven orchestration across tools and data sources via a flexible context protocol.

Blueprint for AI-integrated JHipster applications enabling automatic context generation, intelligent prompts, and customizable workflows with pluggable AI backends.

Next-gen client enabling parallel tool execution with intelligent scheduling and real-time progress, distinguishing itself through non-blocking concurrency and robust fault isolation.

Scalable OpenAPI endpoint discovery using in-memory semantic search and instant endpoint docs for Claude integration.

Lightweight starting point connecting LLMs to real-world tools via an open protocol, with a minimal client and example agents.