Council Ai
by council-ai.app in AI models & inference
Multi-LLM council: 25+ frontier models in parallel, consensus scoring, verdict-first code review.
https://mcp.council-ai.app/mcp- Tools
- 10
- open to any client
- Uptime
- 100%
- last 30 days
- Response time
- 316 ms
- 711 ms slowest 5%
- Last check
- Passed
- 23 min ago, next in 6 h
Reliability
Status and outage history · Atom feed · Watch with other listings
How to connect
Add it to any MCP client that supports remote servers.
{
"mcpServers": {
"council-ai": {
"type": "http",
"url": "https://mcp.council-ai.app/mcp"
}
}
}10 tools
- 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 agreement score and the key point of…
- 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" with the error. Polling is free — the council…
- 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 question is about content the user has…
- 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 synthesis: overall SHIP/NO-SHIP, consensus…
- 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 quotes, check what the library contains, or…
- 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 via MCP (the web library at…
- 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 library_list. Use when the user asks to remove a…
- 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_query_with_rag.
- 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. Per Council's rule: never show dollar…
Security scan
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Recent checks
| When | Result | HTTP | Time |
|---|---|---|---|
| 23 min ago | Passed | 200 | 321 ms |
| 11 h ago | Passed | 200 | 220 ms |
| 24 h ago | Passed | 200 | 311 ms |
| 39 h ago | Passed | 200 | 292 ms |
| 2 days ago | Passed | 200 | 272 ms |
Show 10 older checks
| 3 days ago | Passed | 200 | 292 ms |
| 3 days ago | Passed | 200 | 350 ms |
| 4 days ago | Passed | 200 | 272 ms |
| 5 days ago | Passed | 200 | 292 ms |
| 5 days ago | Passed | 200 | 293 ms |
| 6 days ago | Passed | 200 | 291 ms |
| 6 days ago | Passed | 200 | 324 ms |
| 7 days ago | Passed | 200 | 316 ms |
| 7 days ago | Passed | 200 | 669 ms |
| 8 days ago | Passed | 200 | 302 ms |