Council of AI MCP MCP server

An official MCP server by Council of AI (CSOAI Ltd) that allows AI agents to access independent, signed measurement data of AI systems. It enables agents to query the live board of model comparisons, fetch signed evidence cards, and verify attestations using Ed25519 signatures, supporting governance, safety, and provenance checks without requiring user accounts.

Endpoint and access

No sign-in: your client connects and lists tools immediately, with no account or key.

No sign-inEndpoint checked 2026-10-05Operated by CSOAI Ltd

MCP endpoint (Streamable HTTP)

https://councilof.ai/mcp/

Vendor documentation

What you can do with it

Query the live board of AI model comparisons
Fetch and verify signed measurement cards
Check attestations and evidence for AI systems
Access independent AI governance metrics

Tools advertised by the last live check:

board_totals
get_axis
verify_card
list_cards
get_root
get_card
verify_inclusion
x402_trust
mcp_trust
measurement_index
verify_capsule
server_evidence
evidence_bundle_preview
route
commission_card
art50_marking_evidence
rwa_evidence
receipts_batch
evidence_bundle

Connect from your client

Each snippet registers the same endpoint; pick the client you use.

This server is operated by the named third party. Listing and endpoint checks are not an endorsement or a security audit. Review the operator's permissions, terms, and data handling before connecting. How listings are checked and corrected.

Claude Code

Run this once in a terminal. It registers a Streamable HTTP server. Use --scope project to write .mcp.json for the repo.

Claude Code configuration

claude mcp add --transport http council-of-ai-mcp https://councilof.ai/mcp/

Codex

Run this once. Codex stores MCP servers in ~/.codex/config.toml (or .codex/config.toml in a trusted project).

Codex configuration

codex mcp add council-of-ai-mcp --url https://councilof.ai/mcp/

Cursor

Merge this server into .cursor/mcp.json in your project, then enable council-of-ai-mcp in your MCP settings.

Cursor configuration

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

Cline

Merge this into cline_mcp_settings.json (Cline → MCP Servers → Configure). The type must be streamableHttp for a remote HTTP server.

Cline configuration

{
  "mcpServers": {
    "council-of-ai-mcp": {
      "type": "streamableHttp",
      "url": "https://councilof.ai/mcp/",
      "disabled": false
    }
  }
}

VS Code

Merge this server into .vscode/mcp.json. Use MCP: List Servers to start council-of-ai-mcp and inspect its tools.

VS Code configuration

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

Gemini CLI

Run this once. It writes .gemini/settings.json in the current project; pass --scope user for ~/.gemini/settings.json.

Gemini CLI configuration

gemini mcp add --transport http council-of-ai-mcp https://councilof.ai/mcp/

Claude Desktop

Merge this into claude_desktop_config.json (macOS: ~/Library/Application Support/Claude/, Windows: %APPDATA%\Claude\), then restart Claude Desktop.

Claude Desktop configuration

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

Windsurf

Merge this into ~/.codeium/windsurf/mcp_config.json, then refresh MCP in Cascade. Windsurf remote servers use serverUrl, not url.

Windsurf configuration

{
  "mcpServers": {
    "council-of-ai-mcp": {
      "serverUrl": "https://councilof.ai/mcp/"
    }
  }
}

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