@kalei-labs/mcp-server

MCP server for KALEI — AI cognitive profiling tools for Claude Code, Cursor, and any Model Context Protocol client.

What it does

Exposes 10 KALEI tools to your AI assistant:

• kalei_leaderboard — Top models by Cognum score

• kalei_model — Detailed profile of any model

• kalei_compare — Head-to-head comparison

• kalei_dimensions — The 10 cognitive dimensions

• kalei_providers — Supported BYOK providers

• kalei_profile_model — Profile any model (BYOK)

• kalei_run_progress — Track ongoing runs

• kalei_run_result — Get final profiles

• kalei_insights — Auto-generated findings

• kalei_ask_parliament — 4-model deliberation

Related MCP server: Civitai MCP Server

Quick start

1. Get a KALEI API key

kaleiai.com/get-started → sign up → Dashboard → API Keys

2. Configure your MCP client

Claude Code (~/.claude.json or settings):

{
  "mcpServers": {
    "kalei": {
      "command": "npx",
      "args": ["-y", "@kalei-labs/mcp-server"],
      "env": {
        "KALEI_API_KEY": "kalei_live_..."
      }
    }
  }
}

Cursor (.cursor/mcp.json):

{
  "mcpServers": {
    "kalei": {
      "command": "npx",
      "args": ["-y", "@kalei-labs/mcp-server"],
      "env": { "KALEI_API_KEY": "kalei_live_..." }
    }
  }
}

3. Use it

In Claude Code / Cursor chat:

Show me the KALEI leaderboard and compare Claude Sonnet vs GPT-5.

Profile gpt-4o for me using my OpenAI key sk-... — use standard depth.

Ask the Parliament: should AI systems have persistent memory?

The model will call the appropriate tools and return results.

Development

git clone https://github.com/LMGameLabs/kalei-mcp-server
cd kalei-mcp-server
npm install
npm run build

Environment variables

• KALEI_API_KEY (required) — your KALEI API key

• KALEI_BASE_URL (optional) — override default https://kaleiai.com/api/v1

License

MIT — LM Game Labs