Advanced MCP: Git Integration and Browser Automation

Introduction

A single-purpose MCP server is a good start, but the real power comes from combining capabilities. This lesson explores advanced MCP servers — pairing Git integration with browser automation to build tools that can review code, run tests, and inspect live web applications all from one AI session.

Git Integration via MCP

A Git MCP server exposes version-control operations as tools. This lets the AI:

• Inspect the current branch and status
• View diffs and commit history
• Create branches and commits
• Review pull requests

Example Git Tool

server.tool(
  "git_status",
  "Show the working tree status",
  {},
  async () => {
    const { execSync } = await import("child_process");
    const output = execSync("git status --short").toString();
    return { content: [{ type: "text", text: output }] };
  }
);

Browser Automation via MCP

Browser automation through MCP is particularly valuable for:

• Testing web applications — navigate, click, fill forms, verify behavior
• Scraping structured data — extract data from pages in a controlled way
• Visual inspection — capture screenshots of application states

Combining Servers

Here's where it gets interesting. When you combine multiple MCP servers, the AI assistant can:

• Call tools from different servers in a single workflow
• Use Git to check out a branch
• Use the filesystem to read the code
• Use the browser server to test the result live

            +--------------------+
            |    AI Assistant    |
            +--------------------+
                 |          |
      Git server |          | Browser server
                 v          v
          [repo state]  [live app]

A Real Workflow

Consider a typical feature-development loop:

1. The AI checks out a feature branch (Git server) 2. It writes or modifies code (filesystem/Git server) 3. It runs the app and opens a browser (browser server) 4. It fills the form and verifies the feature works (browser server) 5. It inspects the diff and commits a clean change (Git server)

All of this happens through tools, each individually permissioned and reviewable.

Security Considerations

Combining servers multiplies capability — and risk. Be careful to:

• Scope each server independently to what it needs
• Avoid giving the browser server access to sensitive authenticated sessions unless required
• Log and review tool invocations in production

Summary

• Git MCP servers enable AI-driven version control and code review
• Browser automation servers enable testing and data extraction
• Combining servers lets the AI orchestrate multi-step workflows
• Scope and log each server independently to control risk

Next Lesson

Reach beyond generic tools — let's build domain-specific MCP tools tailored to your team's workflow.