Kalshi MCP Server

FastMCP server for Kalshi's Trade API.

Setup

This repo vendors fastmcp/, so run commands from the repository root:

python -m kalshi_mcp.server

By default the server uses Kalshi's demo API host. Configure it with environment variables:

export KALSHI_ENV=demo
export KALSHI_API_KEY_ID="your-key-id"
export KALSHI_PRIVATE_KEY_PATH="/path/to/kalshi-private-key.pem"

You can also provide KALSHI_PRIVATE_KEY directly. Escaped newlines are supported.

Trading tools are disabled unless explicitly enabled:

export KALSHI_ENABLE_TRADING=true

Even then, order_create, order_cancel, rfq_create, and rfq_delete require confirm=true on each call.

Related MCP server: Kalshi MCP Server

Tool Coverage

The server exposes 49 tools covering the core Predictions REST API areas:

• Exchange status, schedule, announcements, and user-data timestamp

• Markets, market orderbooks, market trades, candlesticks, and series

• Events, event metadata, event fee changes, event candlesticks, and multivariate events

• Portfolio balance, subaccount balances, positions, fills, settlements, deposits, and withdrawals

• Orders, order lookup, order queue positions, V2 create order, and V2 cancel order

• Account limits, API usage progress, endpoint costs, and API key listing

• Historical cutoffs, historical markets, historical candlesticks, historical trades, historical orders, and historical fills

• Communications ID, RFQs, quotes, create RFQ, and delete RFQ

Tool names are prefix-grouped for IDEs and MCP clients that display tools as a flat list:

• exchange_*

• market_*

• series_*

• event_*

• portfolio_*

• order_*

• account_*

• historical_*

• communications_*, rfq_*, and quote_*

Local MCP Config

Many IDEs and MCP clients can run this server from an mcp.json config. Use this shape and adjust paths/secrets for your machine:

{
  "mcpServers": {
    "kalshi": {
      "command": "python",
      "args": ["-m", "kalshi_mcp.server"],
      "cwd": "",
      "env": {
        "KALSHI_API_KEY_ID": "your-key-id",
        "KALSHI_PRIVATE_KEY_PATH": "/path/to/kalshi-private-key.pem"
      }
    }
  }
}

For public market-data tools, the env block can be omitted. Authenticated portfolio/order tools require KALSHI_API_KEY_ID and either KALSHI_PRIVATE_KEY_PATH or KALSHI_PRIVATE_KEY.

cwd is included because this is a source checkout that vendors fastmcp/ locally. If you install this package into the Python environment used by your MCP client, cwd is not needed.

Optional environment variables:

• KALSHI_ENV=production switches from demo to production. The default is demo.

• KALSHI_ENABLE_TRADING=true enables write tools such as order placement and RFQ creation. Those tools still require confirm=true on each call.

Notes

Kalshi authenticated requests are signed with RSA-PSS over the concatenated timestamp, HTTP method, and request path without query parameters.