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
Basic information
Agent-ready financial intelligence tools for AI agents. Derives signals like UNDERVALUED, STRONG, and ACCELERATING — one call, one agent-friendly response.
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"toolstem": {
"command": "npx",
"args": [
"-y",
"toolstem-mcp-server"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
Fetch the live tool list by running this server in a temporary sandbox using the button above.
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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