stocks.metrics
Key fundamental metrics and 52-week price statistics for a US-listed company. Pass ticker; returns headline valuation, margin, and per-share figures — P/E, P/B, P/S, PEG, EV/EBITDA, gross/operating/net margins, ROE, ROA, current ratio, debt/equity, dividend yield, beta, 52-week high/low, and YTD/...
This record as markdown: /tools/io-github-2s-io-mcp/stocks.metrics.md
What stocks.metrics does on Mcp
AI agents call stocks.metrics to retrieve information from Mcp without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why stocks.metrics is rated Low
stocks.metrics retrieves and returns financial data (P/E ratios, margins, price statistics, etc.) for a given ticker symbol. This is a straightforward read operation that queries a financial data provider (Finnhub) without creating, modifying, deleting, or executing anything. The tool has no side effects on any system or data store.
From the tool's definition Tool description states it 'returns headline valuation, margin, and per-share figures' and 'returns...metrics' — purely retrieval and query operations with no modification, deletion, or execution of external systems.
Attacks that exploit this kind of access
The rule that runs stocks.metrics safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Mcp, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For stocks.metrics, this is the rule to start with:
stocks.metrics is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Mcp, apply this rule, and every stocks.metrics call is checked against it from then on.
Questions about stocks.metrics
Key fundamental metrics and 52-week price statistics for a US-listed company. Pass ticker; returns headline valuation, margin, and per-share figures — P/E, P/B, P/S, PEG, EV/EBITDA, gross/operating/net margins, ROE, ROA, current ratio, debt/equity, dividend yield, beta, 52-week high/low, and YTD/52-week price returns — plus the full Finnhub metric map under. It is categorised as a Read tool in the Mcp MCP Server, which means it retrieves data without modifying state.
Register the MCP server in PolicyLayer and add a rule for stocks.metrics: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Mcp. Nothing to install.
stocks.metrics is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the stocks.metrics rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for stocks.metrics. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
stocks.metrics is provided by the MCP server (@2sio/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
More on , and thousands of servers like it.
This server
Across the catalogue