Kalshi
Self-hosted MCP server for Kalshi prediction market trading via DFlow on Solana
What is Kalshi?
Kalshi is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to self-hosted mcp server for kalshi prediction market trading via dflow on solana
Self-hosted MCP server for Kalshi prediction market trading via DFlow on Solana
This server falls under the Finance & Fintech category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Self-hosted MCP server for Kalshi prediction market trading
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx io-github-joinquantish-kalshiConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about Kalshi
What is Kalshi?
Kalshi is a Model Context Protocol (MCP) server that self-hosted mcp server for kalshi prediction market trading via dflow on solana It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Kalshi?
Follow the installation instructions on the Kalshi GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Kalshi?
Kalshi works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Kalshi free to use?
Yes, Kalshi is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Set Up Kalshi in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
Ready to use Kalshi?
Browse our complete directory of 33,000+ MCP servers, read setup guides for your editor, and start building with the Model Context Protocol.