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MCP Server Kalshi

MCP Server Kalshi

Local
github.com/9crusherFinance32Updated 6w ago

About MCP Server Kalshi

An MCP server for Kalshi prediction markets that lets Claude Code and other agent harnesses browse markets, research data, read settlement rules and place trades. It suits users who need market access and trading through MCP tools. It targets the demo sandbox by default, and order-placing tools return a preview unless confirm is set to true.

Key features

  1. 01Query tools for markets, events and series
  2. 02Orderbook, candlestick and trade history research
  3. 03Settlement rules with contract PDF text extraction
  4. 04Exchange status and trading schedule lookup
  5. 05Portfolio balance, positions and fills
  6. 06Order placement, cancellation, amendment and reduction tools

Use cases

  1. 01Researching order books and price history before trading
  2. 02Reading settlement rules to confirm resolution conditions
  3. 03Reviewing account balance, positions and fills
  4. 04Testing trading workflows in the demo environment

MCP support

This is an MCP server that exposes Kalshi market, rules, portfolio and order tools to MCP clients.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"kalshi": {
"command": "uvx",
"args": [
"mcp-server-kalshi"
],
"env": {
"KALSHI_ENV": "<KALSHI_ENV>",
"KALSHI_API_KEY": "<KALSHI_API_KEY>",
"KALSHI_PRIVATE_KEY_PATH": "<KALSHI_PRIVATE_KEY_PATH>",
"BASE_URL": "<BASE_URL>"
}
}
}
}
Run commanduvx mcp-server-kalshi
Environment variables to set
KALSHI_ENVdemo (sandbox) or prod (real money)
KALSHI_API_KEYSecretKalshi API key ID; required only for portfolio/order tools
KALSHI_PRIVATE_KEY_PATHSecretPath to your RSA private key .pem; required for authenticated tools
BASE_URLOptional explicit REST base override (must include /trade-api/v2)

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
pypimcp-server-kalshi0.2.1

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

MCP Server Kalshi

An MCP server that gives Claude Code and other agent harnesses a first-class interface to Kalshi. It is built for end-to-end trading: browse markets, research them, read the exact settlement rules (including pulling the contract-terms PDFs), and execute trades — all through MCP tools.

Highlights

  • Discovery — list_markets, get_market, list_events, get_event, list_series, get_series. (Kalshi has no free-text search; list_markets filters are the search.)
  • Research — get_market_orderbook, get_market_candlesticks, get_market_trades.
  • Deep rules — get_market_rules consolidates a market's rules_primary/rules_secondary, early-close conditions, settlement sources, and series prohibitions; fetch_rules_pdf downloads and extracts the text of the actual legal contract PDF so the agent can read it.
  • Exchange — get_exchange_status, get_exchange_schedule (is the market open, and its hours).
  • Portfolio — get_balance, get_positions, get_fills, get_settlements.
  • Trading — create_order, cancel_order, amend_order, decrease_order, plus list_orders / get_order.
Safety by default
  • The server targets Kalshi's demo (sandbox) environment unless you explicitly set KALSHI_ENV=prod.
  • Order-placing tools (create_order, amend_order) require confirm=true. Without it they return a preview — a human-readable summary and the exact payload — and place nothing.
  • Credentials are optional: all market/rules tools work unauthenticated. Only portfolio and order tools need an API key + RSA private key.
Intuitive order model

Kalshi's V2 order API quotes everything from the YES leg (bid/ask in fixed-point dollars). This server exposes the natural model instead — action (buy/sell) + side (yes/no) + a whole cents limit price — and translates it (including the buy-NO ⇄ sell-YES price inversion).

Configuration

VariableDefaultPurpose
KALSHI_ENVdemodemo (sandbox) or prod (real money). Derives the base URL.
KALSHI_API_KEY(none)Kalshi API key ID. Required only for authenticated tools.
KALSHI_PRIVATE_KEY_PATH(none)Path to your RSA private key .pem. Required for authenticated tools.
BASE_URL(derived)Optional explicit REST base override (must include /trade-api/v2).

See .env-example. Get API credentials at docs.kalshi.com/getting_started/api_keys and a demo account via the demo environment guide.

Claude Desktop (uvx)
"mcpServers": {
  "kalshi": {
    "command": "uvx",
    "args": ["mcp-server-kalshi"],
    "env": {
      "KALSHI_ENV": "demo",
      "KALSHI_API_KEY": "<YOUR KALSHI API KEY>",
      "KALSHI_PRIVATE_KEY_PATH": "PATH TO YOUR RSA KEY FILE"
    }
  }
}
Claude Desktop (Docker)
"mcpServers": {
  "kalshi": {
    "command": "docker",
    "args": ["run", "--rm", "-i",
      "--mount", "type=bind,src=/Users/username,dst=/Users/username",
      "-e", "KALSHI_ENV", "-e", "KALSHI_API_KEY", "-e", "KALSHI_PRIVATE_KEY_PATH",
      "mcp-server-kalshi"],
    "env": {
      "KALSHI_ENV": "demo",
      "KALSHI_API_KEY": "<YOUR KALSHI API KEY>",
      "KALSHI_PRIVATE_KEY_PATH": "PATH TO YOUR RSA KEY FILE"
    }
  }
}

Local Development

  1. Create a .env file (see .env-example).
  2. Install deps: uv sync (add --extra dev for dev tools). Requires Python 3.10+.
  3. Run: uv run start.
  4. Test: uv run pytest.
MCP Inspector
npx @modelcontextprotocol/inspector uv --directory /path/to/mcp-server-kalshi run start

Testing & code quality

uv sync --extra dev              # install dev tools (ruff, mypy, pytest, ...)
uv run pytest                    # run the test suite
uv run pytest --cov              # tests with a coverage report
uv run ruff check src tests      # lint
uv run black src tests           # format (add --check to verify only)
uv run mypy                      # type check
uv run pre-commit install        # (once) run ruff + black on every commit

Tests are pure/offline — they exercise the order translation and confirm-gate, the HTTP client (via an injected httpx.MockTransport), the MCP tool registry, config, and PDF extraction, all without touching the live Kalshi API. CI (.github/workflows/ci.yml) runs ruff + black + mypy + pytest across Python 3.10–3.13 on every push/PR, and releases are gated on that same suite.

Authentication

Requests are signed with RSA-PSS (MGF1-SHA256, max salt). Each authenticated request sends KALSHI-ACCESS-KEY, KALSHI-ACCESS-TIMESTAMP, and KALSHI-ACCESS-SIGNATURE, where the signed message is timestamp_ms + METHOD + path (path includes /trade-api/v2, excludes the query string).

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