INDIVIDUAL MCP TOOL

council_query

Send a prompt to a council of frontier AI models across 9 labs (Anthropic, OpenAI, Google, xAI, DeepSeek, Qwen, Mistral, Moonshot, z.

council-ai.appnone authenticationAvailability not checked

LIVE ENDPOINT

https://mcp.council-ai.app/mcp

No auth detected

Connect to this endpoint to inspect the live schema for council_query and invoke it with your own arguments.

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Potential side effects detected · medium confidence · heuristic, not a guarantee.

CONNECT WITH APPROVAL

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.council-ai]
url = "https://mcp.council-ai.app/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "council-ai": {
      "type": "http",
      "url": "https://mcp.council-ai.app/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: council-ai
Remote MCP URL: https://mcp.council-ai.app/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "council-ai": {
      "url": "https://mcp.council-ai.app/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "council-ai": {
      "type": "http",
      "url": "https://mcp.council-ai.app/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "council-ai",
  "transport": "streamable-http",
  "url": "https://mcp.council-ai.app/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

council_result — Fetch the result of a council_query started with async=true.
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.
council_review — Multi-model code review.
library_search — Semantic search over the user's Council RAG library (uploaded PDFs, Word docs, contracts, research papers, codebases).
library_list — List the documents in the user's Council RAG library.
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.
library_delete — Permanently delete a document from the user's Council RAG library — the record, every indexed chunk, AND the stored file are removed.
council_models — List the AI models available to the current user.