Local-first desktop MCP server that captures screen content via OCR, voice via Whisper, and keyboard/mouse activity to provide AI agents with comprehensive context. Includes semantic memory and project detection with 35 MCP tools.
ContextPulse is a desktop context server designed for AI agents that captures and exposes comprehensive contextual information about your computer environment. It functions as an MCP (Model Context Protocol) server, enabling AI assistants to access real-time data about what's happening on your screen, what you're saying, and your input patterns.
Clone the repository from GitHub, install Python dependencies, configure the MCP server settings, and connect it to your preferred AI platform (Claude, ChatGPT, or other MCP-compatible clients). The local-first design means all processing occurs on your machine with no data sent to external servers.
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