Access the latest stock grades from top analysts and financial institutions with the FMP Grades API. Track grading actions, such as upgrades, downgrades, or maintained ratings, for specific stock symbols, providing valuable insight into how experts evaluate companies over time.
AI agents call getStockGrades 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 existing financial analyst grades and ratings data. It has no side effects—it does not create, modify, delete, or execute anything. The blast radius of misuse is minimal; an AI agent querying this data cannot cause financial loss, data corruption, or system compromise. Classification as Read is appropriate.
From the tool's definition Tool name 'getStockGrades' and description 'Access the latest stock grades' and 'Track grading actions' indicate retrieval of analyst ratings and historical grading data with no modification, deletion, or execution of code.
Attacks that exploit this kind of access
Access the latest stock grades from top analysts and financial institutions with the FMP Grades API. Track grading actions, such as upgrades, downgrades, or maintained ratings, for specific stock symbols, providing valuable insight into how experts evaluate companies over time. 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 getStockGrades: 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.
getStockGrades 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 getStockGrades 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 getStockGrades. 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.
getStockGrades 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 →