Screenpipe
Search your local screen recordings, audio transcripts, and computer activity from screenpipe.
This screenpipe MCP server, developed by Mediar AI, provides a standardized interface for searching and retrieving screen recordings and associated data. Built with Python and leveraging libraries like httpx and nest-asyncio, it offers tools to query recordings based on content type, time range, and application context. The server integrates with a local screenpipe API, abstracting the complexities of data retrieval and formatting into a consistent MCP interface. By enabling AI systems to access and analyze screen capture data, this implementation facilitates use cases such as productivity tracking, user behavior analysis, and automated documentation of digital workflows.
Source
Repository: https://github.com/screenpipe/screenpipe/tree/HEAD/packages/screenpipe-mcp
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