gql_bulk_add_users_to_groups

Bulk add multiple users to multiple groups (GraphQL).

SERVERThinkific MCP Server SOURCEackbarguppi-ai/thinkific-mcp

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/ackbarguppi-ai-thinkific-mcp/gql-bulk-add-users-to-groups.md

WHAT IT DOES

What gql_bulk_add_users_to_groups does on Thinkific MCP Server

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

RISK

Why gql_bulk_add_users_to_groups is rated Medium

This tool creates or modifies group membership data in bulk. While the modifications are reversible (users can be removed), the bulk nature and potential to affect many user-group relationships simultaneously elevates severity to 'high'.

From the tool's definition Tool name contains 'bulk_add' and description states 'Bulk add multiple users to multiple groups'. The verb 'add' indicates creation/modification of group membership relationships, which is reversible (users can be removed from groups).

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs gql_bulk_add_users_to_groups safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Thinkific MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For gql_bulk_add_users_to_groups, this is the rule to start with:

gql_bulk_add_users_to_groups Rate-limited

gql_bulk_add_users_to_groups 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": {
    "gql_bulk_add_users_to_groups": {
      "limits": [
        {
          "counter": "gql_bulk_add_users_to_groups_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Thinkific MCP Server, apply this rule, and every gql_bulk_add_users_to_groups call is checked against it from then on.

FAQ

Questions about gql_bulk_add_users_to_groups

What does the gql_bulk_add_users_to_groups tool do? +

Bulk add multiple users to multiple groups (GraphQL). It is categorised as a Write tool in the Thinkific 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 gql_bulk_add_users_to_groups? +

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

What risk level is gql_bulk_add_users_to_groups? +

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

Can I rate-limit gql_bulk_add_users_to_groups? +

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

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

gql_bulk_add_users_to_groups is provided by the Thinkific MCP Server MCP server (ackbarguppi-ai/thinkific-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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