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.
Cognium trust score
50%
Tier
Unverified
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
Returns 7 tools: search_skills, get_skill, list_leaderboard, get_trust_breakdown, resolve_composition, plus the ChatGPT-connector search and fetch. Every tool is annotated read-only.
Resolve this skill directly via MCP tools/call get_skill.