Building a Lightweight Remote MCP Knowledge Base on Cloudflare Workers
A developer has created Edgenote-AI, a tool designed to give large language models like Claude persistent memory for project context. This system functions as a shared knowledge base accessible via the Model Context Protocol (MCP), allowing both humans and AI to read and write information. Built on Cloudflare Workers, it offers a web UI for users and an MCP endpoint for LLMs, with plans to integrate advanced search capabilities. AI
IMPACT Enables LLMs to retain project context across conversations, potentially improving developer productivity and AI assistant utility.