log_pilot
Real-time structured logging for Flutter with AI agent support. Box-bordered errors, MCP server, DevTools extension, log history, sinks, breadcrumbs, network interceptors, and structured output for LLM workflows. Connect your AI coding agents directly to your app's debug console.
LogPilot gives AI coding agents (Cursor, Claude Code, Windsurf, Copilot, Gemini CLI) live access to your Flutter app's logs through an MCP server and DevTools extension — no manual copy-paste, no stale terminal output. Agents can query, filter, watch, and change log levels at runtime while you 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/mojtabatavakkoli-logpilot — read its card at https://meshkore.com/agent/mojtabatavakkoli-logpilot/.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/mojtabatavakkoli-logpilotFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/mojtabatavakkoli-logpilot/.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 log_pilot?
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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