A Python-based server implementation of the Model Context Protocol (MCP) designed for Retrieval-Augmented Generation (RAG) workflows. It manages the flow of context, tool invocation and model output in one unified service. Supports modular “Models” and “Modules” directories for extensible integrations, environment configuration, and easy deployment

Connects Claude Desktop to Apple Music so you can build historically-informed playlists in plain English

AI-powered HR assistant using MCP protocol for employee onboarding, leave management, and equipment requests

Persistent memory MCP server for Claude — lets Chat, Cowork, and Code share a single self-maintained memory across sessions.

PIFRS is a lightweight MCP-powered personal file retrieval system that helps users quickly locate files using timestamps, file types, filenames, or content-based search through natural language queries.

MCP server for real phone calls via Twilio + ElevenLabs — Claude becomes the brain, the phone is just an I/O channel

RAG-in-a-Box — intelligent document understanding for PDF, DOCX, and Markdown. Adaptive parsing, hybrid search (semantic + BM25), and agentic Q&A with citations. Upload, ask questions, and explore stats via built-in Streamlit app, REST API, or Claude Desktop (MCP).

An MCP server to use with sd-webui-forge (and sd-webui-forge-neo) built for Claude Desktop / Cowork.

Bridge any remote HTTP MCP server into Claude Desktop.

An intelligent Model Context Protocol (MCP) server for Azure AI Search integration with Claude Desktop - Transform enterprise document search into natural AI conversations using LangGraph workflows, Google Gemini, and advanced retrieval-augmented generation (RAG).

Building Your First MCP Server: A Beginner's Tutorial

Intelligent system automation for AI assistants. Production-ready MCP server providing terminal access, surgical file operations, process management, and AI-powered debugging.