kalash.ai MCP

A Model Context Protocol (MCP) server for Kalshi markets, providing research and analysis tools specifically for kalshi.com prediction markets.

Features

• Market Data Access: Retrieve Kalshi markets or browse with advanced filtering
• Whale Tracking: Monitor large transactions and market movements on kalshi.com
• Research Tools: Access news, context, and analysis for kalshi.com markets
• Kalshi-Focused: Specialized tools designed specifically for kalshi.com prediction markets
• Real-time Data: Live Kalshi market data and transaction monitoring

Installation

Prerequisites

• Node.js 18+ or Python 3.8+
• MCP-compatible client (Claude Desktop, etc.)

Setup

1. Clone the repository:

git clone https://github.com/kalashdotai/mcp
cd mcp

2. Install dependencies:

npm install
# or
pip install -r requirements.txt

3. Configure your MCP client to connect to the kalash.ai server.

Configuration

Add the following to your MCP client configuration:

{
  "mcpServers": {
    "kalash": {
      "command": "node",
      "args": ["path/to/kalash-mcp/dist/index.js"],
      "env": {
        "KALSHI_API_KEY": "your_kalshi_key"
      }
    }
  }
}

Documentation

• API Reference - Complete tool documentation

Support

• Issues: GitHub Issues

License

MIT License - see LICENSE for details.

Contributing

We welcome contributions!