The Kaufman Adaptive Moving Average (KAMA) is a moving average that adjusts its length based on market volatility, providing a balance between responsiveness and noise reduction.
AI agents call GetTimeSeriesKama to retrieve information from Twelve Data MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and returns historical technical analysis data (a moving average calculation). It has no side effects, does not execute code or commands, does not modify data, does not delete anything, and does not process financial transactions. It is purely a data retrieval operation that reads financial market metrics from the Twelve Data API.
From the tool's definition Tool retrieves pre-calculated Kaufman Adaptive Moving Average (KAMA) technical indicator data from Twelve Data API.
Documented attack patterns abuse exactly the kind of access GetTimeSeriesKama gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Twelve Data MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for GetTimeSeriesKama:
{
"version": "1",
"default": "deny",
"tools": {
"GetTimeSeriesKama": {}
}
}GetTimeSeriesKama is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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The Kaufman Adaptive Moving Average (KAMA) is a moving average that adjusts its length based on market volatility, providing a balance between responsiveness and noise reduction. It is categorised as a Read tool in the Twelve Data MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Twelve Data MCP Server MCP server in PolicyLayer and add a rule for GetTimeSeriesKama: 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 Twelve Data MCP Server. Nothing to install.
GetTimeSeriesKama 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 GetTimeSeriesKama 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 GetTimeSeriesKama. 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.
GetTimeSeriesKama is provided by the Twelve Data MCP Server MCP server (twelvedata/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 186 Twelve Data MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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186 Twelve Data MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.