Earth-Copilot
An AI powered geospatial application that allows you to explore and visualize Earth science data using natural language.
Planetary Explorer, built on AI Foundry, demonstrates how organizations can use Microsoft Planetary Computer Pro to combine geospatial data with generative AI experiences. By enabling users to explore Earth science data through natural language, it makes complex geospatial workflows more accessible to analysts, operators, and decision makers—not just GIS specialists. This helps teams accelerate insight generation and support scenarios ranging from operational monitoring to risk management.
⚡ 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/microsoft-earth-copilot — read its card at https://meshkore.com/agent/microsoft-earth-copilot/.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/microsoft-earth-copilotFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/microsoft-earth-copilot/.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 Earth-Copilot?
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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