Kalshi MCP Server

mcp-name: io.github.yakub268/kalshi

Model Context Protocol server for Kalshi prediction markets. Search, analyze, and trade prediction markets directly through Claude Desktop.

Built with production-grade authentication and rate limiting from a live trading system with 4+ months of uptime.

Features

Tools (6)

• search_markets - Search by keyword, get prices/volume

• get_market_details - Full market info + orderbook depth

• get_portfolio - Account balance + open positions

• get_trending_markets - Top markets by 24h volume

• place_order - Execute limit orders

• get_series_markets - All markets in a series (e.g., Fed events)

Resources (2)

• kalshi://balance - Current account balance

• kalshi://positions - Open positions list

Installation

Prerequisites

1. Kalshi API credentials: Get from kalshi.com/profile/api-keys

   • Download your API key ID

   • Download the RSA private key (.pem file)

2. Python 3.10+

Quick Install (PyPI)

pip install kalshi-mcp

From Source

# Clone repository
git clone https://github.com/yakub268/kalshi-mcp.git
cd kalshi-mcp

# Install dependencies
pip install -e .

Claude Desktop Configuration

Add to your Claude Desktop config file:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "kalshi": {
      "command": "python",
      "args": ["-m", "kalshi_mcp"],
      "env": {
        "KALSHI_API_KEY": "your-api-key-here",
        "KALSHI_PRIVATE_KEY_PATH": "C:\\Users\\YourName\\.trading_keys\\kalshi_private_key.pem"
      }
    }
  }
}

Note:

• Replace your-api-key-here with your actual Kalshi API key

• Update the private key path to where you saved your .pem file

• On Windows, use double backslashes (\\) in paths

Test the Connection

Restart Claude Desktop, then try:

What's my Kalshi balance?

or

Search for bitcoin prediction markets

Usage Examples

Search for Markets

Search for markets about the Federal Reserve

Get Market Analysis

Show me details for ticker KXFED-26MAR19-B5.25

Check Portfolio

What's my current Kalshi portfolio?

Place an Order

Buy 10 contracts of KXHIGHNYC-26FEB20-B34.5 YES at 25 cents

Authentication

This server uses RSA-PSS signature authentication:

1. Each request is signed with your private key

2. Kalshi verifies the signature with your public key

3. Thread-safe rate limiting (150ms between requests)

4. Automatic retry on 429 rate limit errors

Security: Your private key never leaves your machine. The server only signs requests locally.

Rate Limiting

• Built-in 150ms spacing between requests (~6.6 req/s)

• Automatic exponential backoff on 429 errors (0.5s → 1s → 2s)

• Safe for concurrent use across multiple Claude conversations

Architecture

Built on production code from a live Kalshi trading bot:

• Authentication: Reused from kalshi_client.py (4+ months uptime)

• Rate limiting: Shared across all client instances

• Error handling: Battle-tested retry logic

• Market discovery: Liquidity scoring from scanner.py

Contributing

Issues and PRs welcome! This is an open-source project built to fill a gap in the MCP ecosystem.

License

MIT License - see LICENSE file

Acknowledgments

• Built with FastMCP

• Kalshi API documentation: docs.kalshi.com

• Production code from my trading bot arsenal

Questions? Open an issue or reach out on GitHub.