Low Risk

corn_changes

Check for recent code changes pushed by other agents/team members. Returns unseen commits and affected files. Call before starting work on shared branches.

How to control corn_changes ↓

AI agents call corn_changes to retrieve information from CornMCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

corn_changes retrieves and queries version control metadata (commits and file paths) without side effects. This is a passive read operation intended to inform agents of recent changes before work begins. No data is created, modified, deleted, or executed. The low severity reflects that misuse would only result in stale or incorrect context, not system harm.

From the tool's definition Tool description states it 'Check for recent code changes' and 'Returns unseen commits and affected files'—purely informational retrieval with no modification, deletion, or execution capabilities.

Documented attack patterns abuse exactly the kind of access corn_changes gives an agent:

PolicyLayer is an MCP gateway — it sits between your AI agents and CornMCP, and nothing reaches the server without passing your rules. This is the rule we recommend for corn_changes:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "corn_changes": {}
  }
}

corn_changes is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register CornMCP — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Free to start. No card required.

Go deeper

What does the corn_changes tool do? +

Check for recent code changes pushed by other agents/team members. Returns unseen commits and affected files. Call before starting work on shared branches. It is categorised as a Read tool in the CornMCP MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on corn_changes? +

Register the Corn MCP server in PolicyLayer and add a rule for corn_changes: 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 CornMCP. Nothing to install.

What risk level is corn_changes? +

corn_changes is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit corn_changes? +

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

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

corn_changes is provided by the Corn MCP server (yuki-20/cornmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every CornMCP tool call.

Deterministic rules across all 18 CornMCP tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

18 CornMCP tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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