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Lets AI manage .klypix canvas files with persistent spatial memory across sessions.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "klypix-mcp" yet — see the docs or source repo.
Read the current .klypix canvas, organize its feature modules, tasks, and dependencies, then write today's new requirements into the appropriate areas while keeping the existing spatial layout clear.
An updated canvas with clearer structure, where new requirements are placed correctly and linked to existing context.
Search across all .klypix canvas files for content related to “pricing strategy” and “user segmentation,” then summarize locations, key conclusions, and their surrounding context areas.
A search summary listing matching canvases, exact locations, relevant conclusions, and traceable contextual notes.
Using the research framework saved in the .klypix canvas from the previous session, continue adding competitor analysis and mark which conclusions still need validation.
The canvas is incrementally updated, new competitor insights are aligned with the prior framework, and items needing validation are clearly marked.
Connect AI to an Obsidian vault for notes, semantic search, and memory.
Help AI agents understand local videos and search moments by content.
Let AI search and read Clipy recordings, transcripts, summaries, and key moments.
Let AI read, create, edit, and analyze XMind mind maps directly.
Let AI read and modify KiCad schematics with contextual updates.
Analyze files, process media, and automatically organize local content intelligently.