create_client
AI agents use create_client to create or update resources in Proflores MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Proflores MCP Server environment.
Creating a client record is a data modification operation that adds new information to the system reversibly. This fits the Write category as it creates data without being irreversibly destructive or executing arbitrary code.
From the tool's definition Tool name is 'create_client' and server description states the system 'support[s] comprehensive budget operations including creation' of items.
Attacks that exploit this kind of access
create_client. It is categorised as a Write tool in the Proflores MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Proflores MCP Server MCP server in PolicyLayer and add a rule for create_client: 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 Proflores MCP Server. Nothing to install.
create_client is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the create_client 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 create_client. 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.
create_client is provided by the Proflores MCP Server MCP server (jjesusaf/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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