The ETF Holder Bulk API allows users to quickly retrieve detailed information about the assets and shares held by Exchange-Traded Funds (ETFs). This API provides insights into the weight each asset carries within the ETF, along with key financial information related to these holdings.
AI agents call getETFHoldersBulk 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.
getETFHoldersBulk is a data retrieval tool that queries and returns information about assets held within ETFs. It has no side effects—it does not create, modify, delete data, execute code, or involve financial transactions. The blast radius of misuse is minimal, as an AI agent could at worst retrieve and report financial data without authorization, which is a read-level concern.
From the tool's definition Tool description states it 'allows users to quickly retrieve detailed information' and 'provides insights into' ETF holdings.
Attacks that exploit this kind of access
The ETF Holder Bulk API allows users to quickly retrieve detailed information about the assets and shares held by Exchange-Traded Funds (ETFs). This API provides insights into the weight each asset carries within the ETF, along with key financial information related to these holdings. 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 getETFHoldersBulk: 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.
getETFHoldersBulk 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 getETFHoldersBulk 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 getETFHoldersBulk. 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.
getETFHoldersBulk 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 →