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Kalshi Prediction Markets

MCP server · by cejor6

Developer Tools PythonDocker v0.1.8

MCP server for Kalshi prediction markets: native RSA-PSS auth, rate limiting, demo/prod safety.

View source ↗ More servers

Install

Run one of the commands below, then add the client config underneath.

Pythonuvx kalshi-mcp-server
Dockerdocker run -i --rm ghcr.io/cejor6/kalshi-mcp-server:0.1.8

Client configuration

Paste into Claude Desktop, Cursor (mcp.json), VS Code or any MCP client, then restart the client.

mcpServers{
  "mcpServers": {
    "kalshi-mcp-server": {
      "command": "uvx",
      "args": [
        "kalshi-mcp-server"
      ]
    }
  }
}

About this server

Kalshi Prediction Markets is listed in the Developer Tools category of the MCPNav directory. It is distributed as Python, Docker and can be loaded by any client that speaks the Model Context Protocol.

Typical uses include giving your assistant scoped access to the corresponding service so it can answer questions and take actions with real data instead of guessing. Always review what a server can access before you enable it — see our MCP security guide.

Frequently asked questions

What is the Kalshi Prediction Markets MCP server?

Kalshi Prediction Markets is an MCP server by cejor6. MCP server for Kalshi prediction markets: native RSA-PSS auth, rate limiting, demo/prod safety.

How do I install Kalshi Prediction Markets?

Install it with: uvx kalshi-mcp-server. Then add the JSON config to your client's MCP settings and restart the client.

Is Kalshi Prediction Markets free to use?

The MCP server itself is free to install. The source is public on https://github.com/cejor6/kalshi-mcp-server. Any third-party API it calls (such as a search or maps API) may require its own key and billing.

Which clients support Kalshi Prediction Markets?

Any MCP-compatible client can use it, including Claude Desktop, Cursor, VS Code, Windsurf and custom agents.