consensus · RespCode MCP Server MCP: Risk & Policy

WHAT IT DOES

What consensus does on RespCode MCP Server

AI agents invoke consensus to trigger actions in RespCode MCP Server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

WHY IT NEEDS A POLICY

Why consensus needs a policy

Although the tool involves code generation (Write), its primary function is execution of that generated code on real and simulated hardware platforms. This creates side effects dependent on what code is generated and executed. The blast radius is high because a compromised consensus mechanism could execute arbitrary code across multiple architectures without user review of intermediate steps.

From the tool's definition Tool executes code across multiple AI models and directly runs solutions ("execute") on multiple hardware architectures (x86_64, ARM, RISC-V) and simulations (Verilog, VHDL).

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

consensus Rate-limited

consensus stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "consensus": {
      "limits": [
        {
          "counter": "consensus_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches RespCode MCP Server, so you can run agents against it safely.

FAQ

Questions about consensus

What does the consensus tool do? +

All 4 models generate solutions, Claude picks/merges best one, then execute. It is categorised as a Execute tool in the RespCode MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on consensus? +

Register the RespCode MCP Server MCP server in PolicyLayer and add a rule for consensus: 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 RespCode MCP Server. Nothing to install.

What risk level is consensus? +

consensus is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit consensus? +

Yes. Add a rate_limit block to the consensus 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 consensus completely? +

Set action: deny in the PolicyLayer policy for consensus. 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 consensus? +

consensus is provided by the RespCode MCP Server MCP server (respcodeai/respcode-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.