cherry_pick_commit

cherry_pick_commit

Server Kepler MCP GitLab Server ryan-rbw/kepler-mcp-gitlab-server
Category Execute
Risk class High
Parameters 00 required

What cherry_pick_commit does on Kepler MCP GitLab Server

AI agents invoke cherry_pick_commit to trigger actions in Kepler MCP GitLab 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 cherry_pick_commit needs a policy

Cherry-picking a commit applies changes from one branch to another, which is a non-trivial Git operation that modifies repository state. It is reversible in principle but triggers external operations on the GitLab instance and can cause conflicts or unintended code changes.

From the tool's definition Tool name: cherry_pick_commit — description is empty/uninformative, relying on name alone

Questions about cherry_pick_commit

What does the cherry_pick_commit tool do? +

cherry_pick_commit. It is categorised as a Execute tool in the Kepler MCP GitLab Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on cherry_pick_commit? +

Register the Kepler MCP GitLab Server MCP server in PolicyLayer and add a rule for cherry_pick_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 Kepler MCP GitLab Server. Nothing to install.

What risk level is cherry_pick_commit? +

cherry_pick_commit is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit cherry_pick_commit? +

Yes. Add a rate_limit block to the cherry_pick_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.

How do I block cherry_pick_commit completely? +

Set action: deny in the PolicyLayer policy for cherry_pick_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.

What MCP server provides cherry_pick_commit? +

cherry_pick_commit is provided by the Kepler MCP GitLab Server MCP server (ryan-rbw/kepler-mcp-gitlab-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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