This record as markdown: /tools/agentics-ai-code-mcp/git-push.md
What git_push does on Code MCP Server
AI agents invoke git_push to trigger actions in Code MCP Server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.
Why git_push is rated High
git_push sends local commits to a remote repository, which is an external operation with real side effects on shared infrastructure. While not strictly irreversible (you can force-revert), it modifies shared remote state and can affect other collaborators.
From the tool's definition 'Push commits to remote' — triggers an external Git operation that modifies the remote repository state
Attacks that exploit this kind of access
The rule that runs git_push 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_push, this is the rule to start with:
git_push stays usable, but rate-capped: a runaway agent can't fire it dozens of times 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_push call is checked against it from then on.
Questions about git_push
Push commits to remote. It is categorised as a Execute tool in the Code MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Code MCP Server MCP server in PolicyLayer and add a rule for git_push: 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_push is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the git_push 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_push. 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_push 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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