Building a Lightweight Remote MCP Knowledge Base on Cloudflare Workers

Every time I start a new conversation with Claude, I re-explain my project context. What we decided, what the architecture looks like, what we tried and rejected. The AI has no memory.

I built edgenote-ai to fix this — a lightweight shared knowledge base on Cloudflare Workers that both humans and LLMs can read and write through MCP (Model Context Protocol).

{

  "mcpServers": {

    "edgenote": {

      "command": "npx",

      "args": [

        "-y", "mcp-remote",

        "https://edgenote.0xkaz.com/mcp",

        "--header",

        "Authorization: Bearer YOUR_API_KEY"

      ]

    }

  }

}

I'd love feedback on the MCP tool design. What tools would be most useful for your AI workflow? What would you want your AI assistant to remember?