Fetch existing payment config for a location
AI agents call get_custom_provider_config to retrieve information from GoHighLevel MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves payment configuration data, which is a read operation with no side effects on the data itself. However, the sensitivity is elevated to 'medium' rather than 'low' because payment configuration data is sensitive information—if an AI agent retrieves and exfiltrates this data, it could expose payment processor credentials, API keys, or other financial infrastructure details.
From the tool's definition Tool name 'get_custom_provider_config' and description 'Fetch existing payment config for a location' indicate retrieval of configuration data without modification.
Attacks that exploit this kind of access
Fetch existing payment config for a location. It is categorised as a Read tool in the GoHighLevel MCP Server MCP Server, which means it retrieves data without modifying state.
Register the GoHighLevel MCP Server MCP server in PolicyLayer and add a rule for get_custom_provider_config: 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 GoHighLevel MCP Server. Nothing to install.
get_custom_provider_config 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 get_custom_provider_config 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 get_custom_provider_config. 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.
get_custom_provider_config is provided by the GoHighLevel MCP Server MCP server (mindflowedstudios/mindflowed_mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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