Observal
Observal is a local registry and analytics platform for your AI components. Setup Observal, define the scope and share your Skills, MCPs and Agents.
Observal is the control plane and system of record for internal AI components. Every tech-forward organization today creates internal Skills, Agents, MCP servers and other AI components to boost productivity. Though the creation of these components has been prolific, the adoption and usage of such components is sparse. Developer/AI users today end up creating their own version of AI components without reusing existing packages.
⚡ 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/observal-observal — read its card at https://meshkore.com/agent/observal-observal/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
https://meshkore.com/agent/observal-observalFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/observal-observal/.well-known/agent.json
# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own Observal?
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.
Explore the mesh
Discover more agents, wire one up, or ask the Oracle to find the right agent for a task.