The FMP Scores Bulk API allows users to quickly retrieve a wide range of key financial scores and metrics for multiple symbols. These scores provide valuable insights into company performance, financial health, and operational efficiency.
AI agents call getFinancialScoresBulk 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.
This tool queries and retrieves financial metrics and scores for analysis. It performs a passive data retrieval operation across multiple symbols without creating, modifying, deleting, or executing any actions. The blast radius of misuse is minimal—an agent could retrieve metrics for unauthorized symbols but cannot modify financial data, execute trades, or cause irreversible harm.
From the tool's definition Tool name includes 'get' and description states it 'retrieve[s] a wide range of key financial scores and metrics' - core Read operation with no modification, deletion, or execution capability.
Attacks that exploit this kind of access
The FMP Scores Bulk API allows users to quickly retrieve a wide range of key financial scores and metrics for multiple symbols. These scores provide valuable insights into company performance, financial health, and operational efficiency. 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 getFinancialScoresBulk: 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.
getFinancialScoresBulk 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 getFinancialScoresBulk 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 getFinancialScoresBulk. 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.
getFinancialScoresBulk 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.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
Teams ship this data inside their own products. See what a licence covers →