Find notes by AnkiConnect query. Returns IDs + a short Front preview by default (cheap); pass return_card_content=true to receive cleaned field content inline.
AI agents call search_notes to retrieve information from MCP-AnkiConnect without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs a search/query operation on Anki flashcard notes, returning matching results and previews. No data is created, modified, deleted, or irreversibly changed. No code execution or financial operations occur. This is a standard read/retrieval operation with no side effects.
From the tool's definition The tool is named `search_notes` and described as 'Find notes by AnkiConnect query. Returns IDs + a short Front preview by default.' The presence of optional parameters like `return_card_content=true` that retrieve additional data does not change its…
Documented attack patterns abuse exactly the kind of access search_notes gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and MCP-AnkiConnect, and nothing reaches the server without passing your rules. This is the rule we recommend for search_notes:
{
"version": "1",
"default": "deny",
"tools": {
"search_notes": {}
}
} search_notes is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
Free to start. No card required.
Find notes by AnkiConnect query. Returns IDs + a short Front preview by default (cheap); pass return_card_content=true to receive cleaned field content inline. It is categorised as a Read tool in the MCP-AnkiConnect MCP Server, which means it retrieves data without modifying state.
Register the MCP-AnkiConnect 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-AnkiConnect. 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-AnkiConnect MCP server (samefarrar/mcp-ankiconnect). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from MCP-AnkiConnect, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
10 MCP-AnkiConnect tools catalogued and risk-classified — across an index of 43,000+ MCP servers.