Market size & TAM
Competitor moves
Pricing trends
Key takeaways
Walling becomes the visual, interactive layer for the AI tools you already use. Your agent orchestrates — pulling context, structuring it, and writing it back — and Walling makes it tangible.
Add the Walling MCP server to Claude, your IDE, or any MCP-capable agent, and authorize access in seconds. You stay in control of what it can see and do.
Give your agent the Walling Skill — or point it at the docs — so it understands collections, walls and bricks, and knows which tools to reach for.
Walling Skill
Teaches your agent how Walling works
Ask in plain language. Your agent works with your real workspace as living context — the walls, bricks and knowledge you already have.
Pull my Q3 research into a board and summarize the key trends.
Done — your Q3 board is ready. Three trends stand out
Behind the scenes your agent calls the right MCP tools to pull your content, and uses Canvas Intelligence to structure whatever it builds.
get_context () workspace loaded search_wall ("Q3 research") 24 bricks canvas_plan () board structured Results land back in your workspace — updating existing bricks or creating new ones — beautifully structured and ready to use.
Market size & TAM
Competitor moves
Pricing trends
Key takeaways
Your visual, interactive layer — where ideas live as walls and bricks you can see, arrange and share.
The intelligent assistant and orchestrator — it reads, reasons and does the busywork, then hands the results to Walling.
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