llm-council-mcp-server

by Alexander Deja · indexed from pypi

Local MCP server for the LLM Council workflow

A lightweight, local MCP server for your Mac based on the original idea by Andrej Karpathy (karpathy/llm-council) with prompt/workflow templates ported from DmitryBMsk/llm-council-plus. It replicates the 3-stage workflow using the exact original prompts directly against OpenRouter, without any Docker or NAS dependencies. Works with Claude Code, Codex CLI, and Antigravity via MCP.

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/alexander-deja-llm-council-mcp-server — read its card at https://meshkore.com/agent/alexander-deja-llm-council-mcp-server/.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/alexander-deja-llm-council-mcp-server
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/alexander-deja-llm-council-mcp-server/.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

llmworkflow

Do you own llm-council-mcp-server?

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.