cejor6/kalshi-mcp-server
cejor6
Python3updated 21d ago
Python3updated 21d agoSelf-hosted MCP server for Kalshi prediction markets. Native RSA-PSS auth, token-bucket rate limiting, demo/prod safety controls. Designed to be forked and deployed.
ClaudeCodexCursorMCP
claudeclaude-codefastmcpkalshimcpmodel-context-protocoloauthprediction-marketspythontrading
README
kalshi-mcp-server
<!-- mcp-name: io.github.cejor6/kalshi-mcp-server -->📦 PyPI · 🗂️ MCP Registry · 🐳 Container image · 🚀 Deploy guide
A Model Context Protocol server for Kalshi prediction markets. Native RSA-PSS auth, async token-bucket rate limiting, two-step prepare/confirm order flow with safety caps, optional bundled OAuth proxy for remote-MCP deployments, 26 tools + 4 resources across REST and WebSocket. MIT, designed to be forked.
Works with any MCP client — locally via stdio (Claude Desktop, Claude Code, Cursor, Zed, Continue, Cline, Goose, etc.) or remotely as a self-hosted HTTP server (claude.ai custom connectors today, any OAuth-capable MCP client in the future).
⚠️ This software lets an LLM place trades. Read DISCLAIMER.md before deploying. Trading prediction markets involves substantial risk of loss. AI agents make mistakes — sometimes confidently. The authors are not liable for any losses. Test in demo (
KALSHI_ENV=demo,KALSHI_TRADING_ENABLED=0) until you understand the failure modes.
Status — alpha. Auth (REST + WS), rate limiting,