Medium Risk

setup

Open the BrainFlow onboarding wizard. Use this when the user wants to configure BrainFlow, connect a task system (GitHub, Jira, or Slack), or change their role. Guides the user through role selection and OAuth connection in a step-by-step widget.

Part of the BrainFlow server.

setup can modify BrainFlow data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents use setup to create or modify resources in BrainFlow. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call setup repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach BrainFlow.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "setup": {
      "limits": [
        {
          "counter": "setup_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full BrainFlow policy for all 12 tools.

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

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View all 12 tools →

These attack patterns abuse exactly the kind of access setup 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 setup only ever does what you allow.

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Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the setup tool do? +

Open the BrainFlow onboarding wizard. Use this when the user wants to configure BrainFlow, connect a task system (GitHub, Jira, or Slack), or change their role. Guides the user through role selection and OAuth connection in a step-by-step widget.. It is categorised as a Write tool in the BrainFlow MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on setup? +

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

What risk level is setup? +

setup is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit setup? +

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

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

setup is provided by the BrainFlow MCP server (https://alpichack-3c740d01.alpic.live). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every BrainFlow tool call.

Deterministic rules across all 12 BrainFlow tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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

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