getSMA
Calculate the Simple Moving Average (SMA) for a stock using the FMP SMA API. This tool helps users analyze trends and identify potential buy or sell signals based on historical price data.
This record as markdown: /tools/vijitdaroch-financial-modeling-prep-mcp-server/getsma.md
What getSMA does on Financial Modeling Prep MCP Server
AI agents call getSMA 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 getSMA is rated Low
This tool retrieves historical stock price data and performs a technical analysis calculation (Simple Moving Average) to generate insights. It has no side effects—it neither modifies data, executes arbitrary code, deletes information, nor moves money. It is a read-only analytical tool that queries and processes existing financial data, making it categorically a Read operation with low severity risk.
From the tool's definition The tool 'getSMA' is described as calculating and analyzing historical price data to identify trends and signals. It performs a computational analysis on existing financial data with no data modification, deletion, or financial transaction capability.
Attacks that exploit this kind of access
The rule that runs getSMA 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 getSMA, this is the rule to start with:
getSMA 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 getSMA call is checked against it from then on.
Questions about getSMA
Calculate the Simple Moving Average (SMA) for a stock using the FMP SMA API. This tool helps users analyze trends and identify potential buy or sell signals based on historical price data. 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 getSMA: 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.
getSMA 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 getSMA 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 getSMA. 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.
getSMA 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.
More on Financial Modeling Prep MCP Server, and thousands of servers like it.
Across the catalogue