Run a metasearch query via SearXNG and return the top results. SearXNG aggregates answers from multiple engines (Google, DuckDuckGo, Wikipedia, etc.) without tracking.
AI agents call searxng_search to retrieve information from Crow 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 operation that retrieves information from multiple search engines and returns results to the user. It has no side effects, does not modify or delete data, does not execute arbitrary code on the user's system, and does not involve financial transactions. It is purely a read operation that queries external search engines and aggregates their results.
From the tool's definition Tool description states: 'Run a metasearch query via SearXNG and return the top results.' The verb 'return' and 'query' indicate data retrieval without modification. SearXNG is a metasearch aggregator that retrieves and presents search results.
Documented attack patterns abuse exactly the kind of access searxng_search gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Crow, and nothing reaches the server without passing your rules. This is the rule we recommend for searxng_search:
{
"version": "1",
"default": "deny",
"tools": {
"searxng_search": {}
}
} searxng_search is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Run a metasearch query via SearXNG and return the top results. SearXNG aggregates answers from multiple engines (Google, DuckDuckGo, Wikipedia, etc.) without tracking. It is categorised as a Read tool in the Crow MCP Server, which means it retrieves data without modifying state.
Register the Crow MCP server in PolicyLayer and add a rule for searxng_search: 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 Crow. Nothing to install.
searxng_search 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 searxng_search 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 searxng_search. 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.
searxng_search is provided by the Crow MCP server (kh0pper/crow). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Crow, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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576 Crow tools catalogued and risk-classified — across an index of 43,000+ MCP servers.