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io.github.yakub268/kalshi

Search, analyze, and trade Kalshi prediction markets through Claude Desktop

Open source Open in the app JSON README (API)

About

Search, analyze, and trade Kalshi prediction markets through Claude Desktop

Details

Kind
MCP servers
Topic
No topic detected
Publisher
yakub268
Origin
official
Category
ferramentas
Transport
local
Version
0.1.1
Last push
2026-02-21T02:08:29Z
Repository state
ativo
Language
Python
License
MIT
Added
2026-08-29 04:01:42
Updated
2026-08-29 04:01:42
Origin id
io.github.yakub268/kalshi

README

# Kalshi MCP Server

mcp-name: io.github.yakub268/kalshi

[![MCP](https://img.shields.io/badge/MCP-Compatible-blue)](https://modelcontextprotocol.io)
[![Python](https://img.shields.io/badge/python-3.10+-blue.svg)](https://www.python.org/downloads/)

**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](https://kalshi.com/profile/api-keys)
   - Download your API key ID
   - Download the RSA private key (.pem file)

2. **Python 3.10+**

### Quick Install (PyPI)

```bash
pip install kalshi-mcp
```

### From Source

```bash
# 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`

```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](https://github.com/jlowin/fastmcp)
- Kalshi API documentation: [docs.kalshi.com](https://docs.kalshi.com)
- Production code from my [trading bot arsenal](https://github.com/yakub268/trading_bot)

---

**Questions?** Open an issue or reach out on GitHub.

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