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Built for the Claude Code community with Claude Code by @mertduzgun

Independent project, not affiliated with Anthropic

Kalshi

yakub268/kalshi-mcp
authSTDIOregistry active
Summary

Connects Claude to Kalshi's prediction markets with real trading capabilities. You get six tools: search markets by keyword, pull full orderbook depth, check your portfolio balance and positions, find trending markets by volume, place limit orders, and query entire event series like Fed rate decisions. Built on production auth code from the author's live trading bot, so it handles RSA-PSS signatures and rate limiting properly out of the box. Useful when you want to research political or economic events through market prices, track positions without opening the web UI, or execute trades conversationally. Requires API credentials from Kalshi and a private key file on disk.

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Integrate web data into your AI product. One API to scrape website & brand data.
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Make your agent a DeFi expert
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Agent, run crypto. Access onchain data & trade routes via 1inch.
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Kalshi MCP Server

mcp-name: io.github.yakub268/kalshi

MCP Python

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.

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Keep your Mac awake
Keep your Mac awake
Keep your Mac awake while Claude Code and 40+ AI agents run. Sleeps when they're idle.
One time payment $9 →
Context.devContext.dev
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Integrate web data into your AI product. One API to scrape website & brand data.
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Configuration

KALSHI_API_KEY*secret

Your Kalshi API key ID

KALSHI_PRIVATE_KEY_PATH*

Path to your Kalshi RSA private key file (.pem)

Categories
Search & Web Crawling
Registryactive
Packagekalshi-mcp
TransportSTDIO
AuthRequired
UpdatedFeb 21, 2026
View on GitHub

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