Perform Google-like Boolean search with AND, OR, NOT operators
AI agents call boolean_search to retrieve information from CodeSeeker-MCP 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 data using Boolean operators to find matching code patterns. It has no side effects, does not modify data, does not execute code, and does not perform destructive operations. It is fundamentally a read operation constrained to information retrieval.
From the tool's definition Tool description states 'Perform Google-like Boolean search' - a search operation with no modification capability.
Documented attack patterns abuse exactly the kind of access boolean_search gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and CodeSeeker-MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for boolean_search:
{
"version": "1",
"default": "deny",
"tools": {
"boolean_search": {}
}
} boolean_search is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Perform Google-like Boolean search with AND, OR, NOT operators. It is categorised as a Read tool in the CodeSeeker-MCP MCP Server, which means it retrieves data without modifying state.
Register the CodeSeeker- MCP server in PolicyLayer and add a rule for boolean_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 CodeSeeker-MCP. Nothing to install.
boolean_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 boolean_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 boolean_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.
boolean_search is provided by the CodeSeeker- MCP server (mixelpixx/codeseeker-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from CodeSeeker-MCP, 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.
12 CodeSeeker-MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.