Search for bookmarks matching a specific a query.
AI agents call search-bookmarks to retrieve information from Karakeep MCP server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves or queries existing bookmark data in response to search criteria. It does not create, modify, delete, or execute any code. It is a pure read operation with minimal blast radius if misused by an AI agent.
From the tool's definition Tool name 'search-bookmarks' and description 'Search for bookmarks matching a specific a query' indicate a retrieval operation with no modification or side effects.
Documented attack patterns abuse exactly the kind of access search-bookmarks gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Karakeep MCP server, and nothing reaches the server without passing your rules. This is the rule we recommend for search-bookmarks:
{
"version": "1",
"default": "deny",
"tools": {
"search-bookmarks": {}
}
}search-bookmarks is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Search for bookmarks matching a specific a query. It is categorised as a Read tool in the Karakeep MCP server MCP Server, which means it retrieves data without modifying state.
Register the Karakeep MCP server MCP server in PolicyLayer and add a rule for search-bookmarks: 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 Karakeep MCP server. Nothing to install.
search-bookmarks 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-bookmarks 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-bookmarks. 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-bookmarks is provided by the Karakeep MCP server MCP server (karakeep-app/karakeep). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Karakeep 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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11 Karakeep MCP server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.