Medium Risk

create_pull_request

Create a new pull request in a GitHub repository

How to control create_pull_request ↓

What create_pull_request does on Claude TypeScript MCP Servers

AI agents use create_pull_request to create or update resources in Claude TypeScript MCP Servers — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Claude TypeScript MCP Servers environment.

Medium Risk

Why create_pull_request needs a policy

Creating a pull request is a reversible write operation—it adds a new artifact to a repository that can be deleted or closed without permanent data loss. It has high severity because a malicious agent could submit unwanted PRs affecting repository workflows, introduce malicious code for review, or spam the repository, but the action is not irreversible (PRs can be closed/deleted).

From the tool's definition The tool description states it will 'Create a new pull request in a GitHub repository,' which is a write operation that creates new data (a PR object) in a remote system with visible effects.

Documented attack patterns abuse exactly the kind of access create_pull_request gives an agent:

How to control create_pull_request

PolicyLayer is an MCP gateway — it sits between your AI agents and Claude TypeScript MCP Servers, and nothing reaches the server without passing your rules. This is the rule we recommend for create_pull_request:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "create_pull_request": {
      "limits": [
        {
          "counter": "create_pull_request_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

create_pull_request 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.

  1. Create a free account and register Claude TypeScript MCP Servers — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Related tools and policies

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Questions about create_pull_request

What does the create_pull_request tool do? +

Create a new pull request in a GitHub repository. It is categorised as a Write tool in the Claude TypeScript MCP Servers MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on create_pull_request? +

Register the Claude TypeScript MCP Servers MCP server in PolicyLayer and add a rule for create_pull_request: 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 Claude TypeScript MCP Servers. Nothing to install.

What risk level is create_pull_request? +

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

Can I rate-limit create_pull_request? +

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

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

create_pull_request is provided by the Claude TypeScript MCP Servers MCP server (ukkz/claude-ts-mcps). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Claude TypeScript MCP Servers tool call.

Start from Claude TypeScript MCP Servers, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

Free to start. No card required.

84 Claude TypeScript MCP Servers tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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