io.github.omarkeshk/council-ai
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Publisher-provided description
Multi-LLM council: 25+ frontier models in parallel, consensus scoring, verdict-first code review.
Summary by lookupd
Queries many frontier AI models in parallel, runs multi-model code reviews, and searches or manages an uploaded document library for…
Install
Claude Code, remote (streamable-http)
claude mcp add --transport http council-ai https://mcp.council-ai.app/mcp
Codex, remote (streamable-http)
codex mcp add council-ai --url https://mcp.council-ai.app/mcp
Cursor, remote (streamable-http) → .cursor/mcp.json
{
"mcpServers": {
"council-ai": {
"url": "https://mcp.council-ai.app/mcp"
}
}
}Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.
Tools (10 tools)
Publisher-provided text
council_querySend 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 icouncil_resultFetch 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), thcouncil_query_with_ragLike council_query, but first retrieves the most relevant passages from the user's personal Council RAG library (uploaded PDFs, Word docs, contracts, research pcouncil_reviewMulti-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 relibrary_searchSemantic search over the user's Council RAG library (uploaded PDFs, Word docs, contracts, research papers, codebases). Returns top-K chunks with source filenamelibrary_listList 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 relibrary_uploadUpload 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_deletePermanently 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_modelsList the AI models available to the current user. Returns ID, provider, tier, context window, and capability flags (web search, vision, streaming). Use the IDscouncil_usageReturn 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
Details
- Version: 1.0.1
- Transports: streamable-http
- Uptime (7 days): 100%
- Median latency: 732 ms
- First indexed:
- Last seen in registry:
- Website: https://council-ai.app/mcp
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