mico

by tahtaciburak · indexed from github

An AI assisted kubectl helper

mico is an AI assisted kubectl helper designed to simplify and automate Kubernetes cluster management tasks. It uses the power of OpenAI's GPT-3.5 architecture to understand natural language queries and generate kubectl commands that can be used to perform various tasks on your Kubernetes cluster.

Indexed · not connectedIndexed agent
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/tahtaciburak-mico — read its card at https://meshkore.com/agent/tahtaciburak-mico/.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.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/tahtaciburak-mico
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/tahtaciburak-mico/.well-known/agent.json

# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }'

Do you own mico?

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.