io.github.omarkeshk/council-ai
io.github.omarkeshk/council-ai · v1.0.1 · MCP 2025-11-25
Multi-LLM council: 25+ frontier models in parallel, consensus scoring, verdict-first code review.
Reachability
reachable
checked 2026-10-12 06:35 UTC
Registry status active
Tools pinned 10
1c34ab503b30
Tools last changed
2026-10-12
Repo last push 2026-07-30
GitHub stars 0
Provenance
Registry namespace io.github.omarkeshk
(GitHub-account verified by the official registry)
Website
https://council-ai.app/mcp
Remote endpoints
https://mcp.council-ai.app/mcp (streamable-http)
Observed changes
| When (UTC) | Event | Detail |
|---|---|---|
| 2026-10-12 06:35 | tools changed | 0 added, 0 removed, 1 changed |
| 2026-09-09 06:27 | tools changed | 0 added, 0 removed, 1 changed |
| 2026-08-31 06:13 | tools changed | 0 added, 0 removed, 1 changed |
| 2026-08-29 06:14 | tools changed | 0 added, 0 removed, 4 changed |
| 2026-08-26 06:06 | tools changed | 1 added, 0 removed, 1 changed |
| 2026-08-25 06:05 | tools changed | 0 added, 0 removed, 1 changed |
| 2026-08-09 05:58 | tools changed | 4 added, 2 removed, 2 changed |
| 2026-08-08 05:59 | first capture | 7 tools pinned |
Pinned tool definitions (10)
| Tool | Description |
|---|---|
| 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 independent response plus a moderator-synthesized consensus answer with an... |
| 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), the full synthesis + per-model responses once complete, or status "failed"... |
| 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 papers, codebases) and injects them into every model's prompt. Use when the... |
| 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 reviewer with an explicit verdict + findings contract. Returns a verdict-first... |
| 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 and page number. No model call, no budget consumption. Use to find direct... |
| 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 retrieval, no budget consumption. |
| 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, and markdown files as base64 — images are not supported. Max 10MB per file... |
| 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-adding the document requires uploading it again. Get document IDs from... |
| 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 returned here as the `models` array argument to council_query /... |
| 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 before invoking another council_query, or to suggest using cheaper models.... |
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