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DoneThat

Privacy-first work tracking with summaries, reports, coaching, and AI-ready long-term memory.

RUN IN TERMINAL
# See repository for install instructions
ADD TO claude_desktop_config.json
{ "mcpServers": { "aidonethat-donethat": { "command": "npx", "args": [] } } }
ADD TO .vscode/mcp.json
{ "mcpServers": { "aidonethat-donethat": { "command": "npx", "args": [] } } }
ADD TO .cursor/mcp.json
{ "mcpServers": { "aidonethat-donethat": { "command": "npx", "args": [] } } }

TRY THIS MCP

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About This MCP Server

The ai.donethat/donethat server is a Model Context Protocol server that enables privacy-first work tracking, providing features such as summaries, reports, and coaching, as well as AI-ready long-term memory. It allows developers to connect AI coding assistants to a remote work tracking system, facilitating the integration of AI capabilities with work tracking data. Developers would use this server when they need to implement AI-driven work tracking and analysis in their applications while prioritizing user privacy.

Privacy-first work tracking with summaries, reports, coaching, and AI-ready long-term memory.. This is a Model Context Protocol (MCP) server that extends AI assistants like Claude with ai & machine learning capabilities via the streamable-http transport.

HOW TO USE

Select your AI client above to get the install command. This MCP server uses the streamable-http transport.

What tools does it provide?

The DoneThat server extends your AI assistant with ai & machine learning capabilities. Once installed, your AI can use its tools automatically.

DETAILS
README BADGE
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[![Skills Playground](https://skillsplayground.com/badges/mcp/aidonethat-donethat.svg)](https://skillsplayground.com/mcps/aidonethat-donethat/)
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