kongen-mcp

MCP (Model Context Protocol) server for the Kongen Labs Pattern Intelligence API.

Connects Claude Code, Cursor, Windsurf, and any MCP-compatible client to Kongen's cross-domain pattern intelligence — reasoning regime detection, structural transfer scoring, and intelligent model routing.

Tools

Installation

pip install kongenlabs-mcp

Or install from source:

git clone https://github.com/kongen-labs/kongen-mcp.git
cd kongen-mcp
pip install .

Configuration

Get your API key at kongenlabs.life.

Claude Code

Add with the CLI:

claude mcp add kongen -- kongen-mcp

Then set your API key when prompted, or add it manually to .claude/mcp.json:

{
  "mcpServers": {
    "kongen": {
      "command": "kongen-mcp",
      "env": {
        "KONGEN_API_KEY": "kl_live_..."
      }
    }
  }
}

Cursor

1. Open Settings > MCP > Add Server
2. Name: kongen
3. Command: kongen-mcp
4. Environment variables:

• KONGEN_API_KEY: your API key

Windsurf

Add to your MCP configuration:

{
  "mcpServers": {
    "kongen": {
      "command": "kongen-mcp",
      "env": {
        "KONGEN_API_KEY": "kl_live_..."
      }
    }
  }
}

Custom base URL

To point the server at a different API endpoint (for example a local proxy), set KONGEN_API_BASE_URL:

{
  "mcpServers": {
    "kongen": {
      "command": "kongen-mcp",
      "env": {
        "KONGEN_API_KEY": "kl_test_...",
        "KONGEN_API_BASE_URL": "http://localhost:8000"
      }
    }
  }
}

Usage examples

Once configured, the tools are available to your AI assistant. Examples of what you can ask:

Prompt scoring:

"Score this prompt for complexity: Prove that the square root of 2 is irrational using proof by contradiction."

Model routing:

"Which Claude model should I use for this task: Summarize this 3-line email."

Transfer scoring:

"Score this structural signature against cross-domain patterns."

Usage check:

"How many Kongen tokens do I have left?"

Environment variables

License

MIT

<!-- mcp-name: io.github.fisnik/kongen-mcp -->