Low Risk

hivemind

Query GPT-5.2 and Gemini 3 Pro in parallel and get their raw responses. Claude Code acts as the orchestrator - use this tool to gather other model perspectives, then analyze and synthesize the consensus yourself.

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Part of the Hivemind server.

hivemind is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

SECURE HIVEMIND →

Free to start. No card required.

AI agents call hivemind to retrieve information from Hivemind without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though hivemind only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "hivemind": {}
  }
}

See the full Hivemind policy for all 5 tools.

Get this rule live on your own Hivemind server in minutes. PolicyLayer enforces it on every call, before it runs.

ENFORCE ON MY HIVEMIND →

These attack patterns abuse exactly the kind of access hivemind gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so hivemind only ever does what you allow.

SECURE HIVEMIND →

Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the hivemind tool do? +

Query GPT-5.2 and Gemini 3 Pro in parallel and get their raw responses. Claude Code acts as the orchestrator - use this tool to gather other model perspectives, then analyze and synthesize the consensus yourself.. It is categorised as a Read tool in the Hivemind MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on hivemind? +

Register the Hivemind MCP server in PolicyLayer and add a rule for hivemind: 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 Hivemind. Nothing to install.

What risk level is hivemind? +

hivemind is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit hivemind? +

Yes. Add a rate_limit block to the hivemind 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.

How do I block hivemind completely? +

Set action: deny in the PolicyLayer policy for hivemind. 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.

What MCP server provides hivemind? +

hivemind is provided by the Hivemind MCP server (@quantulabs/hivemind). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Hivemind tool call.

Deterministic rules across all 5 Hivemind tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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