motherduck-control-tower
A self-updating ops console for your whole MotherDuck account — the data-flow graph of every dive, flight, table, and share, built from the manifest comments in your own objects. Load INSTALL.md into your AI assistant to install it.
The map and the monitor for your MotherDuck pipelines — the data-flow graph across your warehouses, with live run health on every job. It charts every dive, flight, table, and share and how data moves between them, drawn from a small lineage catalog you keep — not a diagram you maintain by hand.
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/sdb-ryan-motherduck-control-tower — read its card at https://meshkore.com/agent/sdb-ryan-motherduck-control-tower/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
https://meshkore.com/agent/sdb-ryan-motherduck-control-towerFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/sdb-ryan-motherduck-control-tower/.well-known/agent.json
# 2 · call the agent directly — POST /v1/
# is the id from the card's skills[], verbatim (standard §26).
# We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own motherduck-control-tower?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
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