create_pull_request_with_copilot

Delegate a task to GitHub Copilot coding agent to perform in the background. The agent will create a pull request with the implementation. You should use this tool if the user asks to create a pull request to perform a specific task, or if the user asks Copilot to do something.

SERVERGitHub SOURCEoci:ghcr.io/github/github-mcp-server:1.3.0
Medium RISK CLASS
Category Write
Parameters 50 required
Recommended Rate-limitedsee the rule below
Registry record Grade D, identity verified Pull the record →

This record as markdown: /tools/github/create-pull-request-with-copilot.md

What create_pull_request_with_copilot does on GitHub

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

ParameterTypeRequiredDescription
repo string Repository name. You can guess the repository name, but confirm it with the user before proceeding.
owner string Repository owner. You can guess the owner, but confirm it with the user before proceeding.
title string Title for the pull request that will be created
base_ref string Git reference (e.g., branch) that the agent will start its work from. If not specified, defaults to the repository's default branch
problem_statement string Detailed description of the task to be performed (e.g., 'Implement a feature that does X', 'Fix bug Y', etc.)

Parameters from the server's own tool schema.

Why create_pull_request_with_copilot is rated Medium

This tool creates a pull request by delegating a coding task to GitHub Copilot. Creating a pull request is a Write operation (reversible — PRs can be closed/deleted). However, severity is high because an AI agent autonomously writes and submits code changes, which could introduce vulnerabilities, unintended logic, or sensitive data exposure.

From the tool's definition create a pull request with the implementation... The agent will create a pull request

Questions about create_pull_request_with_copilot

What does the create_pull_request_with_copilot tool do? +

Delegate a task to GitHub Copilot coding agent to perform in the background. The agent will create a pull request with the implementation. You should use this tool if the user asks to create a pull request to perform a specific task, or if the user asks Copilot to do something. It is categorised as a Write tool in the GitHub MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

What parameters does create_pull_request_with_copilot accept? +

create_pull_request_with_copilot accepts 5 parameters: repo, owner, title, base_ref, problem_statement. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on create_pull_request_with_copilot? +

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

What risk level is create_pull_request_with_copilot? +

create_pull_request_with_copilot 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_with_copilot? +

Yes. Add a rate_limit block to the create_pull_request_with_copilot 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_with_copilot completely? +

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

create_pull_request_with_copilot is provided by the GitHub MCP server (oci:ghcr.io/github/github-mcp-server:1.3.0). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

More on GitHub, and thousands of servers like it.

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