addClient · Mindbody MCP Server MCP: Risk & Policy

WHAT IT DOES

What addClient does on Mindbody MCP Server

AI agents use addClient to create or update resources in Mindbody MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Mindbody MCP Server environment.

WHY IT NEEDS A POLICY

Why addClient needs a policy

An AI agent can call addClient faster than any human can review — one bad instruction and it creates or modifies resources in Mindbody MCP Server by the hundred, each call as confident as the last.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

addClient Rate-limited

addClient stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "addClient": {
      "limits": [
        {
          "counter": "addclient_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL →

Instant setup, no code required.

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

FAQ

Questions about addClient

What does the addClient tool do? +

Add a new client. It is categorised as a Write tool in the Mindbody MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on addClient? +

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

What risk level is addClient? +

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

Can I rate-limit addClient? +

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

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

addClient is provided by the Mindbody MCP Server MCP server (vespo92/mindbodymcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.