Calculate the Double Exponential Moving Average (DEMA) for a stock using the FMP DEMA API. This tool helps users analyze trends and identify potential buy or sell signals based on historical price data.
AI agents call getDEMA 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.
getDEMA retrieves and processes historical stock price data to compute a technical analysis indicator (DEMA). This is a pure calculation/retrieval operation with no side effects, no data modification, no execution of external commands, and no financial transactions. It falls squarely under Read category as it queries existing market data and returns analytical results.
From the tool's definition Tool calculates and returns DEMA (Double Exponential Moving Average) based on historical price data. No modification of data occurs. Description states it "helps users analyze trends" - a read-only analytical operation.
Attacks that exploit this kind of access
Calculate the Double Exponential Moving Average (DEMA) for a stock using the FMP DEMA 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 getDEMA: 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.
getDEMA 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 getDEMA 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 getDEMA. 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.
getDEMA 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 →