A MCP server to interact with Kalshi prediction markets
{
"mcpServers": {
"mcp-server-kalshi": {
"command": "<see-readme>",
"args": []
}
}
}No install config available. Check the server's README for setup instructions.
Are you the author?
Add this badge to your README to show your security score and help users find safe servers.
"KALSHI_PRIVATE_KEY_PATH": "PATH TO YOUR RSA KEY FILE", "KALSHI_API_KEY": "", "BASE_URL": "https://api.elections.kalshi.com"
Is it safe?
No package registry to scan.
No authentication — any process on your machine can connect.
MIT. View license →
Is it maintained?
Last commit 74 days ago. 18 stars.
Will it work with my client?
Transport: stdio. Works with Claude Desktop, Cursor, Claude Code, and most MCP clients.
No automated test available for this server. Check the GitHub README for setup instructions.
No known vulnerabilities.
Have you used this server?
Share your experience — it helps other developers decide.
Sign in to write a review.
Persistent memory using a knowledge graph
Privacy-first. MCP is the protocol for tool access. We're the virtualization layer for context.
Pre-build reality check. Scans GitHub, HN, npm, PyPI, Product Hunt — returns 0-100 signal.
Monitor browser logs directly from Cursor and other MCP compatible IDEs.
MCP Security Weekly
Get CVE alerts and security updates for Mcp Server Kalshi and similar servers.
Start a conversation
Ask a question, share a tip, or report an issue.
Sign in to join the discussion.
This is an MCP server for the Kalshi REST API
"mcpServers": {
"kalshi": {
"command": "uvx",
"args": ["mcp-server-kalshi"],
"env": {
"KALSHI_PRIVATE_KEY_PATH": "PATH TO YOUR RSA KEY FILE",
"KALSHI_API_KEY": "<YOUR KALSHI API KEY>",
"BASE_URL": "https://api.elections.kalshi.com"
}
}
}
Build the container from root directory docker build -t mcp-server-kalshi .
Configure client to run the container (ensure the bind command gives the container access to your rsa key files)
"mcpServers": {
"kalshi": {
"command": "docker",
"args": ["run", "--rm", "-i", "--mount", "type=bind,src=/Users/username,dst=/Users/username", "-e", "KALSHI_PRIVATE_KEY_PATH", "-e", "KALSHI_API_KEY","-e", "BASE_URL", "mcp-server-kalshi"],
"env": {
"KALSHI_PRIVATE_KEY_PATH": "PATH TO YOUR RSA KEY FILE",
"KALSHI_API_KEY": "<YOUR KALSHI API KEY>",
"BASE_URL": "https://api.elections.kalshi.com"
}
}
}
Create a .env file in the root directory with the following variables
BASE_URL The kalshi API URLKALSHI_API_KEY The API key for the corresponding environmentKALSHI_PRIVATE_KEY_PATH A filepath to a file containing your Kalshi RSA private keyInstall deps via uv pip install -e . Dev deps can be installed with uv pip install -e .[dev]
Run with uv run start
To get Kalshi API creds, follow the instrictions here
You may want to run the server against a kalshi demo account. To get an account, follow the instructions here
Then, set BASE_URL=https://demo-api.kalshi.co for this MCP server and update your KALSHI_API_KEY and KALSHI_PRIVATE_KEY_PATH to point towards credentials generated in the testing environment
To run in MCP inspector
npx @modelcontextprotocol/inspector uv --directory /path/to/your/mcp-server-kalshi run start
To run in claud desktop, update your MCP config to:
{
"mcpServers": {
"kalshi": {
"command": "uv",
"args": [
"--directory",
"/<path to repo root directory>",
"run",
"start"
],
"env": {
"KALSHI_PRIVATE_KEY_PATH": "PATH TO YOUR RSA KEY FILE",
"KALSHI_API_KEY": "<YOUR KALSHI API KEY>",
"BASE_URL": "https://api.elections.kalshi.com"
}
}
}
}