This record as markdown: /tools/agentics-ai-code-mcp/git-commit.md
What git_commit does on Code MCP Server
AI agents use git_commit 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.
Why git_commit is rated Medium
This tool creates or modifies data (commits to version control) in a reversible manner—commits can be amended, reverted, or reset if necessary. While commits affect project history, they are not irreversible destructive operations like force-push or permanent data deletion.
From the tool's definition Tool name is 'git_commit' and description states 'Commit staged changes'. Git commits modify the repository history by creating permanent snapshots of staged changes.
Attacks that exploit this kind of access
The rule that runs git_commit 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 git_commit, this is the rule to start with:
git_commit 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.
The button opens the PolicyLayer dashboard: create your workspace, connect Code MCP Server, apply this rule, and every git_commit call is checked against it from then on.
Questions about git_commit
Commit staged changes. 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.
Register the Code MCP Server MCP server in PolicyLayer and add a rule for git_commit: 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.
git_commit 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 git_commit 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 git_commit. 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.
git_commit 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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