gql_me
Returns the current authenticated user (GraphQL).
This record as markdown: /tools/ackbarguppi-ai-thinkific-mcp/gql-me.md
What gql_me does on Thinkific MCP Server
AI agents call gql_me to retrieve information from Thinkific MCP Server without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why gql_me is rated Low
This tool retrieves authenticated user information without creating, modifying, deleting, or executing operations. It is a simple identity/profile lookup operation analogous to 'whoami' in shell contexts, representing minimal security risk unless user PII exposure is a concern in the specific deployment context.
From the tool's definition Tool name 'gql_me' and description 'Returns the current authenticated user' indicate a retrieval operation with no side effects. The GraphQL query merely fetches user identity information.
Attacks that exploit this kind of access
The rule that runs gql_me 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_me, this is the rule to start with:
gql_me is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Thinkific MCP Server, apply this rule, and every gql_me call is checked against it from then on.
Questions about gql_me
Returns the current authenticated user (GraphQL). It is categorised as a Read tool in the Thinkific MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Thinkific MCP Server MCP server in PolicyLayer and add a rule for gql_me: 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.
gql_me is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the gql_me 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.
Set action: deny in the PolicyLayer policy for gql_me. 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.
gql_me 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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