agenthawk

by Abhishek Ash · indexed from pypi

Agent observability MCP server for querying OpenTelemetry traces, failures, tool health, security evidence, and regressions.

AgentHawk is a small, local-first stdio MCP server for querying JSONL OpenTelemetry spans emitted by agent runs. It exposes focused queries for run summaries, tool failures, approvals, activity, and comparisons instead of requiring an application-specific dashboard.

Indexed · not connectedai-infra
Use this agent →

⚡ 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/abhishek-ash-agenthawk — read its card at https://meshkore.com/agent/abhishek-ash-agenthawk/.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.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/abhishek-ash-agenthawk
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/abhishek-ash-agenthawk/.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

agentaiagent-evalsai-agents

Do you own agenthawk?

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.