git_cherry_pick

Apply changes from a specific commit to the current branch

SERVERGitHub MCP Server SOURCE0xshariq/github-mcp-server

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/0xshariq-github-mcp-server/git-cherry-pick.md

WHAT IT DOES

What git_cherry_pick does on GitHub MCP Server

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

RISK

Why git_cherry_pick is rated Medium

git_cherry_pick modifies the current branch by applying changes from another commit, creating new commits in the process. This is a reversible write operation (commits can be undone or reset), not destructive (no data is permanently deleted). It does not execute arbitrary code or move funds.

From the tool's definition Tool name 'git_cherry_pick' and description 'Apply changes from a specific commit to the current branch' indicate modification of repository state by applying commits.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs git_cherry_pick safely

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

git_cherry_pick Rate-limited

git_cherry_pick 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": {
    "git_cherry_pick": {
      "limits": [
        {
          "counter": "git_cherry_pick_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 GitHub MCP Server, apply this rule, and every git_cherry_pick call is checked against it from then on.

FAQ

Questions about git_cherry_pick

What does the git_cherry_pick tool do? +

Apply changes from a specific commit to the current branch. It is categorised as a Write tool in the GitHub 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 git_cherry_pick? +

Register the GitHub MCP Server MCP server in PolicyLayer and add a rule for git_cherry_pick: 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 GitHub MCP Server. Nothing to install.

What risk level is git_cherry_pick? +

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

Can I rate-limit git_cherry_pick? +

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

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

git_cherry_pick is provided by the GitHub MCP Server MCP server (0xshariq/github-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

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