council-ai

Name: council-ai
Author: omarkeshk

MCP serverMCP

Multi-LLM council: 25+ frontier models in parallel, consensus scoring, verdict-first code review.

by omarkeshkhomepage ↗v1.0.1

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Evidence

Everything here was measured by our prober or read from a registry. Nothing is self-reported.

30-day availability111/111 checks ok

when	check	result	http	latency	detail
7 h ago	mcp initialize	ok	200	412 ms	server council-ai 0.1.0 · protocol 2025-06-18 · 10 tools
13 h ago	mcp initialize	ok	200	493 ms	server council-ai 0.1.0 · protocol 2025-06-18 · 10 tools
19 h ago	mcp initialize	ok	200	380 ms	server council-ai 0.1.0 · protocol 2025-06-18 · 10 tools
25 h ago	mcp initialize	ok	200	177 ms	server council-ai 0.1.0 · protocol 2025-06-18 · 10 tools
31 h ago	mcp initialize	ok	200	283 ms	server council-ai 0.1.0 · protocol 2025-06-18 · 10 tools
2 d ago	mcp initialize	ok	200	200 ms	server council-ai 0.1.0 · protocol 2025-06-18 · 10 tools
2 d ago	mcp initialize	ok	200	183 ms	server council-ai 0.1.0 · protocol 2025-06-18 · 10 tools
2 d ago	mcp initialize	ok	200	188 ms	server council-ai 0.1.0 · protocol 2025-06-18 · 10 tools
2 d ago	mcp initialize	ok	200	191 ms	server council-ai 0.1.0 · protocol 2025-06-18 · 10 tools
3 d ago	mcp initialize	ok	200	194 ms	server council-ai 0.1.0 · protocol 2025-06-18 · 10 tools

Tools observed via MCP handshake

council_query — Send a prompt to a council of frontier AI models across 9 labs (Anthropic, OpenAI, Google, xAI, DeepSeek, Qwen, Mistral, Moonshot, z.ai). Returns each model's i
council_result — Fetch the result of a council_query started with async=true. Returns status "running" while the council is still working (wait 30-60 seconds and call again), th
council_query_with_rag — Like council_query, but first retrieves the most relevant passages from the user's personal Council RAG library (uploaded PDFs, Word docs, contracts, research p
council_review — Multi-model code review. Sends a unified diff (or code snippet) to multiple frontier AI models from different labs in parallel, each acting as an independent re
library_search — Semantic search over the user's Council RAG library (uploaded PDFs, Word docs, contracts, research papers, codebases). Returns top-K chunks with source filename
library_list — List the documents in the user's Council RAG library. Returns id, filename, source type, ingestion status, chunk count, and upload date for each document. No re
library_upload — Upload a document into the user's Council RAG library so future council_query_with_rag and library_search calls can retrieve it. Accepts PDF, Word (docx), text,
library_delete — Permanently delete a document from the user's Council RAG library — the record, every indexed chunk, AND the stored file are removed. This cannot be undone; re-
council_models — List the AI models available to the current user. Returns ID, provider, tier, context window, and capability flags (web search, vision, streaming). Use the IDs
council_usage — Return the user's current monthly cost-budget consumption (current spend, budget cap, percentage used, days until reset). Use to decide whether to warn the user

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kind Official MCP Registry

name Official MCP Registry

summary Official MCP Registry

version Official MCP Registry

description Official MCP Registry

homepageUrl Official MCP Registry

publisherName Official MCP Registry

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Official MCP Registryio.github.omarkeshk/council-ai

first seen 1 mo ago · fetched 3 d agoopen ↗

Field history (6 recent events)

1 mo ago · declared · summary → "Multi-LLM council: 25+ frontier models in parallel, consensus scoring, verdict-first code review."
1 mo ago · declared · description → "Multi-LLM council: 25+ frontier models in parallel, consensus scoring, verdict-first code review."
1 mo ago · declared · publisherName → "omarkeshk"
1 mo ago · declared · homepageUrl → "https://council-ai.app/mcp"
1 mo ago · declared · version → "1.0.1"
1 mo ago · declared · protocols → ["mcp"]

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