Search for notes in TriliumNext
AI agents call search_notes to retrieve information from MCP TriliumNext without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and retrieves notes matching search criteria. It has no side effects—no data is created, modified, deleted, or executed. It is a straightforward read operation with minimal risk.
From the tool's definition Tool name is 'search_notes' and description states it will 'Search for notes in TriliumNext'. Search operations retrieve data without modifying or deleting it.
Attacks that exploit this kind of access
Search for notes in TriliumNext. It is categorised as a Read tool in the MCP TriliumNext MCP Server, which means it retrieves data without modifying state.
Register the MCP TriliumNext MCP server in PolicyLayer and add a rule for search_notes: 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 MCP TriliumNext. Nothing to install.
search_notes 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 search_notes 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 search_notes. 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.
search_notes is provided by the MCP TriliumNext MCP server (radonx/mcp-trilium). 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.
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