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Search, analyze, and trade Kalshi prediction markets through Claude Desktop
22LimitedInstall
~/Library/Application Support/Claude/claude_desktop_config.json
{
"mcpServers": {
"yakub268-kalshi-mcp": {
"command": "uvx",
"args": [
"kalshi-mcp"
],
"env": {
"KALSHI_API_KEY": "YOUR_KALSHI_API_KEY",
"KALSHI_PRIVATE_KEY_PATH": ""
}
}
}
}
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Environment
| Name | Required | Notes |
|---|
| KALSHI_API_KEY | Yes | Your Kalshi API key ID Secret. |
| KALSHI_PRIVATE_KEY_PATH | Yes | Path to your Kalshi RSA private key file (.pem) |
Tools show up when the registry metadata or the repository README lists them. GitHub enrichment fills this in when a token is configured.
About
Model Context Protocol server for Kalshi prediction markets. Search, analyze, and trade directly through Claude Desktop.
FAQ
- What is kalshi?
- Search, analyze, and trade Kalshi prediction markets through Claude Desktop
- How do I install kalshi?
- Pick a client above and copy the generated config. Cursor and VS Code also have a deep link when the server can run locally or remotely.
- Is kalshi official?
- No. Registry-listed is not the same as vendor-official. Read the methodology for the difference.
- How is the trust score calculated?
- This listing scores 22 (Limited). The formula is published on the methodology page.
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