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Version control is the backbone of collaborative software development. By integrating your AI assistant directly with your version control system, you can automate the entire lifecycle of a code change, from creating a branch to submitting a pull request.
The Git and GitHub/GitLab MCP servers work in tandem to provide this powerful capability, transforming your AI from a code generator into a full-fledged development partner.
To fully automate your workflow, you need to connect your AI to both your local repository and its remote counterpart.
Local Control with the Git MCP Server
This server gives your AI assistant direct access to your local Git repository. It exposes tools that map to common Git commands, allowing the AI to manage your local state.
Capabilities: Branching, staging, committing, viewing diffs, and checking status.
Remote Collaboration with the GitHub/GitLab MCP Server
This server connects your AI to the rich features of your hosting platform via its API. It’s the bridge between your local work and your team’s collaborative process.
Capabilities: Creating pull requests, managing issues, reviewing code, and checking CI/CD status.
Combining these two servers allows for a seamless, automated workflow that handles all the administrative overhead of version control for you.
Create a New Branch. You start by telling the AI what you want to work on.
I'm starting work on the "user profile page" feature. Please create a new feature branch for it.The AI uses the Git MCP server to execute git checkout -b feature/user-profile-page.
Implement the Feature. You and the AI collaborate on writing the code for the new feature.
Commit the Changes. Once the work is done, you delegate the commit process.
Please commit all the changes. Write a clear commit message that follows our team's conventions and summarizes the work done on the user profile page.The AI uses the Git MCP server to stage the files and create a well-formatted commit message.
Create a Pull Request. Finally, you ask the AI to open the work up for review.
Push the branch to the remote and open a new pull request. Assign it to the "Frontend Team" for review and link it to issue `PROJ-123`.The AI uses the GitHub/GitLab MCP server to push the branch, create the pull request, add reviewers, and link the relevant issue, completing the entire workflow without you ever needing to leave your editor or run a manual Git command.
This level of integration is a massive productivity booster. It eliminates the constant context-switching and manual steps associated with version control, keeping you in the flow and focused on what matters most: building great software.