This project implements a Multi-Server MCP architecture aimed at optimizing processing across multiple servers. Utilizing Python, it automates communication and data processing between servers to enhance workflow efficiency. Notably, it emphasizes scalability and availability in its design.
AI Sticky Notes MCP Server - A lightweight Model Context Protocol server that gives AI assistants persistent note-taking capabilities. Save, read, and manage notes across conversations with simple tools and automatic file storage. Perfect for to-dos, reminders, and context retention.
A powerful integration platform that seamlessly links Model Context Protocol (MCP) servers with CrewAI agents. Enables AI assistants with enhanced capabilities including DALL-E 3 image generation, Brave web search, and file operations through intelligent agent coordination.
