auto_commit_changes

Automatically commit AI-made changes with tracking

SERVERCode MCP Server SOURCEagentics-ai/code-mcp

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/agentics-ai-code-mcp/auto-commit-changes.md

WHAT IT DOES

What auto_commit_changes does on Code MCP Server

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

RISK

Why auto_commit_changes is rated Medium

This tool creates commits in a Git repository, which modifies the repository state by adding new commit objects. While commits are technically immutable once created, they can be reverted, reset, or amended—making this a Write operation rather than Destructive.

From the tool's definition Tool is named 'auto_commit_changes' and described as 'Automatically commit AI-made changes with tracking'. The word 'commit' in Git context means recording changes to version control, which is a reversible write operation.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs auto_commit_changes safely

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

auto_commit_changes Rate-limited

auto_commit_changes 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": {
    "auto_commit_changes": {
      "limits": [
        {
          "counter": "auto_commit_changes_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 Code MCP Server, apply this rule, and every auto_commit_changes call is checked against it from then on.

FAQ

Questions about auto_commit_changes

What does the auto_commit_changes tool do? +

Automatically commit AI-made changes with tracking. It is categorised as a Write tool in the Code MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on auto_commit_changes? +

Register the Code MCP Server MCP server in PolicyLayer and add a rule for auto_commit_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 Code MCP Server. Nothing to install.

What risk level is auto_commit_changes? +

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

Can I rate-limit auto_commit_changes? +

Yes. Add a rate_limit block to the auto_commit_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 auto_commit_changes completely? +

Set action: deny in the PolicyLayer policy for auto_commit_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 auto_commit_changes? +

auto_commit_changes is provided by the Code MCP Server MCP server (agentics-ai/code-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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