What environments does MCP Server Kalshi support?
It supports `demo` (sandbox) and `prod` (real money). The default is `demo`.
@9crusher
基本信息
A MCP server to interact with Kalshi prediction markets
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"mcp-server-kalshi": {
"command": "npx",
"args": [
"@modelcontextprotocol/inspector",
"uv",
"--directory",
"/path/to/mcp-server-kalshi",
"run",
"start"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。
It is an MCP (Model Context Protocol) server that gives Claude Code and other agent harnesses a first-class interface to Kalshi, the regulated prediction-market exchange. It supports end-to-end trading: browsing markets, researching them, reading settlement rules, pulling contract-terms PDFs, and executing trades through MCP tools.
Configure via environment variables (KALSHI_ENV, KALSHI_API_KEY, KALSHI_PRIVATE_KEY_PATH). Run with uvx mcp-server-kalshi or via Docker. The server targets the Kalshi demo sandbox by default; set KALSHI_ENV=prod for real money. Order-placing tools require confirm=true to execute; without it they only return a preview.
It supports `demo` (sandbox) and `prod` (real money). The default is `demo`.
No. All market and rules tools work without authentication. Portfolio and order tools require a Kalshi API key and RSA private key.
Order‑placing tools (`create_order`, `amend_order`) require `confirm=true` to actually place an order. Without it they return a human‑readable preview and the exact payload without executing anything.
It exposes a natural model: `action` (buy/sell) + `side` (yes/no) + limit price in whole cents. The server automatically translates the underlying Kalshi API (which quotes everything from the YES leg) including the buy‑NO ⇄ sell‑YES price inversion.
Python 3.12 or later. Install dependencies with `uv sync`. For local development, include `--extra dev`.

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