Track the financial trades made by U.S. House members and their families with the FMP U.S. House Trades API. Access real-time information on stock sales, purchases, and other investment activities to gain insight into their financial decisions.
AI agents call getHouseTrades 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 retrieves and queries publicly available information about House members' financial trades. It performs no side effects, creates no new data, executes no code, and makes no financial transactions. The data accessed appears to be public congressional disclosure records. This is a straightforward read/retrieval operation with minimal blast radius if misused by an AI agent.
From the tool's definition Tool description states 'Track...Access real-time information on stock sales, purchases, and other investment activities' - uses action verbs like 'Track' and 'Access' which indicate data retrieval only.
Attacks that exploit this kind of access
Track the financial trades made by U.S. House members and their families with the FMP U.S. House Trades API. Access real-time information on stock sales, purchases, and other investment activities to gain insight into their financial decisions. 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 getHouseTrades: 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.
getHouseTrades 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 getHouseTrades 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 getHouseTrades. 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.
getHouseTrades 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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