stockScreener
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.
This record as markdown: /tools/io-github-imbenrabi-financial-modeling-prep-mcp-server/stockscreener.md
What stockScreener does on Financial Modeling Prep MCP Server
AI agents call stockScreener to retrieve information from Financial Modeling Prep MCP Server without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why stockScreener is rated Low
The stockScreener tool performs filtering and discovery of stock market data based on specified criteria. This is fundamentally a read operation that retrieves or queries financial data without side effects. No data is created, modified, deleted, or financial obligations committed. The tool supports investment decision-making but does not execute trades or move money.
From the tool's definition Tool description indicates it 'Discover stocks' and 'Filter stocks based on market cap, price, volume, beta, sector, country' — these are query and retrieval operations with no indication of data modification, deletion, or financial transactions.
Attacks that exploit this kind of access
The rule that runs stockScreener safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Financial Modeling Prep MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For stockScreener, this is the rule to start with:
stockScreener 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 Financial Modeling Prep MCP Server, apply this rule, and every stockScreener call is checked against it from then on.
Questions about stockScreener
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 (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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