What is Donethat Donethat?
Donethat Donethat is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to privacy-first work tracking with summaries, reports, coaching, and ai-ready long-term memory.
Privacy-first work tracking with summaries, reports, coaching, and AI-ready long-term memory.
This server falls under the Knowledge & Memory and Monitoring & Observability categories on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Privacy-first work tracking with summaries, reports, coachin
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx ai-donethat-donethatConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about Donethat Donethat
What is Donethat Donethat?
Donethat Donethat is a Model Context Protocol (MCP) server that privacy-first work tracking with summaries, reports, coaching, and ai-ready long-term memory. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Donethat Donethat?
Follow the installation instructions on the Donethat Donethat GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Donethat Donethat?
Donethat Donethat works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Donethat Donethat free to use?
Yes, Donethat Donethat is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
Donethat Donethat Alternatives — Similar Knowledge & Memory Servers
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Everos
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Browse More Knowledge & Memory MCP Servers
Explore all knowledge & memory servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.
Set Up Donethat Donethat in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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