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
基本信息
Agent-ready financial intelligence tools for AI agents. Derives signals like UNDERVALUED, STRONG, and ACCELERATING — one call, one agent-friendly response.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"toolstem": {
"command": "npx",
"args": [
"-y",
"toolstem-mcp-server"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。
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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