Clipto MCP

What is Clipto MCP?

Clipto MCP is an integration capability within Clipto, a local-first AI memory platform designed to catalog and index multimedia files. Using the Model Context Protocol (MCP), it connects a user's indexed library—which includes videos, meeting recordings, voice memos, images, and documents—directly to external AI tools such as Claude, ChatGPT, Cursor, and Clipto's own agent. The system operates locally on macOS and Windows hardware, allowing users to query their personal archives from their preferred AI environments while returning answers linked directly to original timestamps, spoken quotes, and source files.

Clipto MCP key features

• Connects local multimedia libraries to AI assistants like Claude, ChatGPT, and Cursor via the Model Context Protocol.
• Generates traceable answers linked to exact timestamps, speakers, video frames, and document page references.
• Runs local-first on Apple silicon Macs and Windows PCs, indexing personal data without requiring cloud uploads.
• Automatically transcribes audio and indexes visual media by scenes, shot types, and subjects for content-based search.
• Integrates with creative production environments through native plugins for Adobe Premiere Pro and DaVinci Resolve.

Who is Clipto MCP for?

Clipto MCP is designed for knowledge workers and content creators who manage large collections of recordings, footage, and documentation. Its primary users include video creators, journalists, researchers, product teams, financial analysts, and students. Common use cases include retrieving past product decisions from recorded meetings, pulling architectural discussions into coding tools, locating specific visual b-roll clips, and fact-checking source quotes against original interview audio.