← kwant.sh

INDIVIDUAL MCP TOOL

compare_tickers

Rank two or more tickers against each other by a single metric (total_return, volatility, sharpe, max_drawdown, last_price).

kwant.shnone authenticationAvailability not checked

LIVE ENDPOINT

https://kwant.sh/mcp

No auth detected

Connect to this endpoint to inspect the live schema for compare_tickers and invoke it with your own arguments.

Indexed input schema

{}

Risk classification

Inferred read-only · medium confidence · heuristic, not a guarantee.

  • No write-capable action terms were found; this is not proof that invocation has no side effects.

Parent server

kwant.sh

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.kwant]
url = "https://kwant.sh/mcp"
enabled = true
Claude Code

.mcp.json

{
  "mcpServers": {
    "kwant": {
      "type": "http",
      "url": "https://kwant.sh/mcp"
    }
  }
}
Claude Desktop

Settings → Connectors → Add custom connector

Name: kwant
Remote MCP URL: https://kwant.sh/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "kwant": {
      "url": "https://kwant.sh/mcp"
    }
  }
}
Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code
{
  "servers": {
    "kwant": {
      "type": "http",
      "url": "https://kwant.sh/mcp"
    }
  }
}
Generic MCP

Client-specific MCP configuration

{
  "name": "kwant",
  "transport": "streamable-http",
  "url": "https://kwant.sh/mcp"
}
MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

Related tools

  • get_price_history — Get historical OHLCV price bars for a ticker.
  • get_quote — Get the latest available quote for a ticker.
  • get_fundamentals — Get fundamental data for a ticker (profile + key ratios).
  • compute_indicator — Compute a technical indicator (RSI, MACD, SMA, EMA, BBANDS, ATR, ADX, STOCH) over a ticker's price history.
  • detect_signals — Detect classic technical-analysis signals on a ticker's price history.
  • compute_stats — Compute quantitative statistics (volatility, sharpe, max_drawdown, returns, beta, correlation) over a ticker's daily price history.
  • screen — Screen a stock universe for tickers matching quantitative filters (logical AND).
  • backtest — Backtest a simple long-only technical strategy on daily price history.