AI agents call get_docs to retrieve information from Umami Analytics MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool name prefix 'get_' combined with the server's purpose (analytics data retrieval) and the consistent pattern across all sibling tools suggests this retrieves documentation or reference data. No evidence of modification, deletion, code execution, or financial operations. Classified as Read despite empty description due to strong contextual evidence from sibling tools.
From the tool's definition Tool name 'get_docs' with empty description; sibling tools on the server are all read-only data retrieval operations (get_active_visitors, get_pageview_series, get_website_metrics, get_website_stats, etc.), strongly indicating this tool follows the same…
Documented attack patterns abuse exactly the kind of access get_docs gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Umami Analytics MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for get_docs:
{
"version": "1",
"default": "deny",
"tools": {
"get_docs": {}
}
}get_docs is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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get_docs. It is categorised as a Read tool in the Umami Analytics MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Umami Analytics MCP Server MCP server in PolicyLayer and add a rule for get_docs: 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 Umami Analytics MCP Server. Nothing to install.
get_docs 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 get_docs 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 get_docs. 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.
get_docs is provided by the Umami Analytics MCP Server MCP server (jakeyshakey/umami_mcp_server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Umami Analytics MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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10 Umami Analytics MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.