PluginBench
MCP Server
Active
MIT

Kalshi Prediction Markets MCP Server

io.github.cejor6/kalshi-mcp-server

What is the Kalshi Prediction Markets MCP server?

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

How to install Kalshi Prediction Markets

Copy-paste configuration for popular MCP clients.

transport: stdio
Config generated by PluginBench — verify against the source before use.
Environment / auth
  • KALSHI_API_KEY_ID
    required

    Kalshi API key ID from https://kalshi.com/account/profile

  • KALSHI_PRIVATE_KEY_PATH

    Filesystem path to the RSA private key PEM. Set this or KALSHI_PRIVATE_KEY_PEM.

  • KALSHI_PRIVATE_KEY_PEM
    secret

    Inline PEM contents, for hosted deploys without filesystem access.

  • KALSHI_ENV

    demo or prod. Defaults to demo for safety.

  • KALSHI_ALLOW_PROD

    Must be 1 for the server to start with KALSHI_ENV=prod. Defaults to 0.

  • KALSHI_TRADING_ENABLED

    Must be 1 for order-placement tools to operate. Read-only by default (0).

~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "kalshi-mcp-server": {
      "command": "uvx",
      "args": [
        "kalshi-mcp-server"
      ],
      "env": {
        "KALSHI_API_KEY_ID": "<YOUR_KALSHI_API_KEY_ID>",
        "KALSHI_PRIVATE_KEY_PATH": "<YOUR_KALSHI_PRIVATE_KEY_PATH>",
        "KALSHI_PRIVATE_KEY_PEM": "<YOUR_KALSHI_PRIVATE_KEY_PEM>",
        "KALSHI_ENV": "<YOUR_KALSHI_ENV>",
        "KALSHI_ALLOW_PROD": "<YOUR_KALSHI_ALLOW_PROD>",
        "KALSHI_TRADING_ENABLED": "<YOUR_KALSHI_TRADING_ENABLED>"
      }
    }
  }
}

Related MCP servers

Give AI agents secure access to RevDesk calling, SMS, phone numbers, caller IDs, and usage.

Search current U.S. gift-card discounts from validated providers. Anonymous and read-only.

0
MIT
View repository →

Measured uptime, price and payment evidence for 19,021 agent services. Reliability, not quality.

View repository →

Try Centric relationship intelligence: Brief Me, Relational IP radar, Draft As. Demo data.

Govern model, agent, skill, and MCP workflows with policy, approvals, traces, and usage analytics.

3
TypeScript
MIT
View repository →

Domain-specific LLM fine-tuning — sovereign models trained on your data, zero infrastructure.

3
TypeScript
MIT
View repository →