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 MCP-Brave-Search

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

Medium Risk

Why create_pull_request needs a policy

This tool creates a new pull request, which is a reversible write operation. A pull request can be closed or deleted, and the underlying commits remain in the repository. While it affects repository state and workflow, it does not execute arbitrary code, delete data irreversibly, or move funds.

From the tool's definition Tool name 'create_pull_request' and description 'Create a new pull request in a GitHub repository' indicate creation of a new code review object.

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 MCP-Brave-Search, 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 MCP-Brave-Search — 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 MCP-Brave-Search 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 MCP-Brave-Search 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 MCP-Brave-Search. 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 MCP-Brave-Search MCP server (modelcontextprotocol/servers-archived). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every MCP-Brave-Search tool call.

Start from MCP-Brave-Search, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

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59 MCP-Brave-Search tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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