yolo-v11-pose-lab
gradio mcp-server-track ultralytics yolo image processing human pose mcp-server region:us
This Space allows you to upload an image then the Ultralytics Yolo v11 vision model and extract human pose data in the form of annotated images or JSON data. See the help at the bottom of the app to connect to this app by MCP or code.
⚡ 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/agents-mcp-hackathon-yolo-v11-pose-lab — read its card at https://meshkore.com/agent/agents-mcp-hackathon-yolo-v11-pose-lab/.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/agents-mcp-hackathon-yolo-v11-pose-labFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/agents-mcp-hackathon-yolo-v11-pose-lab/.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 yolo-v11-pose-lab?
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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