What data source does Toolstem MCP Server use?
Toolstem uses Financial Modeling Prep as its upstream vendor. An `FMP_API_KEY` is required and can be obtained at financialmodelingprep.com.
@toolstem
基本情報
Agent-ready financial intelligence tools for AI agents. Derives signals like UNDERVALUED, STRONG, and ACCELERATING — one call, one agent-friendly response.
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"toolstem": {
"command": "npx",
"args": [
"-y",
"toolstem-mcp-server"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。
Toolstem MCP Server is an MCP server that turns raw financial market data into curated, synthesized intelligence for AI agents. It combines multiple data sources, derives signals, and pre-computes financial math so agents get flat, agent-friendly JSON responses without needing to parse nested arrays or stitch across endpoints.
Install globally via npm (npm install -g toolstem-mcp-server) and run with the required FMP_API_KEY environment variable. Supports stdio mode (default) and Streamable HTTP transport (--http flag, optional PORT). Can also be added to Claude Desktop via claude_desktop_config.json, run as an Apify Actor, or self-hosted on any Node runtime.
UNDERVALUED, STRONG, ACCELERATING)Toolstem uses Financial Modeling Prep as its upstream vendor. An `FMP_API_KEY` is required and can be obtained at financialmodelingprep.com.
It supports stdio (default) and Streamable HTTP transport. Use the `--http` flag and optional `PORT` environment variable to run as an HTTP server.
Yes, it is available on the Apify Store as the `toolstem-financial-data` Actor and monetizes per tool call via Apify's Pay-Per-Event model.
Data delay varies by tool: `get_stock_snapshot` and `get_company_metrics` return end-of-day data, while `screen_stocks` and `compare_companies` provide real-time data during market hours.

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