close_cursor

A write tool on the Mcpg MCP server.

SERVERMcpg SOURCEpypi:mcpg

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/io-github-devopam-mcpg/close-cursor.md

WHAT IT DOES

What close_cursor does on Mcpg

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

RISK

Why close_cursor is rated Medium

An AI agent can call close_cursor faster than any human can review: one bad instruction and it creates or modifies resources in Mcpg by the hundred, each call as confident as the last.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs close_cursor safely

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

close_cursor Rate-limited

close_cursor 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": {
    "close_cursor": {
      "limits": [
        {
          "counter": "close_cursor_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 Mcpg, apply this rule, and every close_cursor call is checked against it from then on.

FAQ

Questions about close_cursor

What does the close_cursor tool do? +

close_cursor is a write tool on the Mcpg MCP server. It is categorised as a Write tool in the Mcpg MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on close_cursor? +

Register the Mcpg MCP server in PolicyLayer and add a rule for close_cursor: 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 Mcpg. Nothing to install.

What risk level is close_cursor? +

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

Can I rate-limit close_cursor? +

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

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

close_cursor is provided by the Mcpg MCP server (pypi:mcpg). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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