Discover stocks that align with your investment strategy using the FMP Stock Screener API. Filter stocks based on market cap, price, volume, beta, sector, country, and more to identify the best opportunities.
AI agents call stockScreener to retrieve information from Financial Modeling Prep MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
stockScreener retrieves and queries financial market data to help users identify investment opportunities. It performs no write operations, does not execute transactions, and does not move money or create financial obligations. The tool is purely informational and analytical, making it a Read category tool with low severity since misuse would only surface irrelevant data rather than cause harmful side effects.
From the tool's definition The tool is described as discovering and filtering stocks based on criteria like market cap, price, volume, beta, sector, and country.
Attacks that exploit this kind of access
Discover stocks that align with your investment strategy using the FMP Stock Screener API. Filter stocks based on market cap, price, volume, beta, sector, country, and more to identify the best opportunities. It is categorised as a Read tool in the Financial Modeling Prep MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Financial Modeling Prep MCP Server MCP server in PolicyLayer and add a rule for stockScreener: 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 Financial Modeling Prep MCP Server. Nothing to install.
stockScreener 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 stockScreener 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 stockScreener. 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.
stockScreener is provided by the Financial Modeling Prep MCP Server MCP server (vijitdaroch/financial-modeling-prep-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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