Automate x86 to Arm Migration with Docker MCP Toolkit, VS Code and GitHub Copilot
Introduction
Simplify Arm migration with the Docker MCP Toolkit and Arm MCP Server
Set up Docker MCP Toolkit with Arm, GitHub, and Sequential Thinking servers
Examine x86 AVX2 intrinsics in the demo application
Automate x86 to Arm migration with GitHub Copilot
Validate the Arm64 migration and test containers
Next Steps
Automate x86 to Arm Migration with Docker MCP Toolkit, VS Code and GitHub Copilot
Introduction
Simplify Arm migration with the Docker MCP Toolkit and Arm MCP Server
Set up Docker MCP Toolkit with Arm, GitHub, and Sequential Thinking servers
Examine x86 AVX2 intrinsics in the demo application
Automate x86 to Arm migration with GitHub Copilot
Validate the Arm64 migration and test containers
Next Steps
Before you begin
Make sure the following tools are installed:
- Docker Desktop 4.59 or later
- VS Code with the GitHub Copilot extension
- A GitHub account with a Personal Access Token (PAT) that allows repository access
- A machine with at least 8 GB RAM (16 GB recommended)
You’ll use Docker Desktop to host MCP servers locally, and VS Code with GitHub Copilot to invoke those servers through the MCP Gateway.
Enable the Docker MCP Toolkit
The MCP Toolkit allows Docker Desktop to run and manage MCP (Model Context Protocol) servers, which expose structured tools that AI assistants can call.
- Open Docker Desktop
- Go to Settings > Beta features
- Toggle Enable Docker MCP Toolkit on
- Select Apply
The MCP Toolkit tab appears in the left sidebar.
Add the required MCP servers
Open the MCP Toolkit in Docker Desktop and select the Catalog tab. Add the following three servers:
Arm MCP Server
Search for Arm in the catalog and add the Arm MCP Server .
Configure it by setting the directory path to your local code. This allows the migrate_ease_scan and mca tools to access your source files. Click Save after setting the path.
The Arm MCP Server provides six tools:
| Tool | Description |
|---|---|
knowledge_base_search | Semantic search of Arm learning resources, intrinsics documentation, and software compatibility |
migrate_ease_scan | Code scanner for C++, Python, Go, JavaScript, and Java Arm compatibility analysis |
check_image | Docker image architecture verification for Arm64 support |
skopeo | Remote container image inspection without downloading |
mca | Machine Code Analyzer for assembly performance and IPC predictions |
sysreport_instructions | System architecture information gathering |
GitHub Official MCP Server
Search for GitHub Official in the catalog and add the GitHub MCP Server .
Configure authentication:
- Select the GitHub Official server
- Choose Personal Access Token as the authentication method
- Enter your GitHub token from GitHub Settings > Developer Settings > Personal access tokens
This server lets GitHub Copilot create pull requests, manage issues, and commit changes directly to your repositories.
Sequential Thinking MCP Server
Search for Sequential Thinking in the catalog and add the Sequential Thinking MCP Server .
No configuration is needed. This server helps GitHub Copilot break down complex migration decisions into logical steps.
Connect VS Code to the MCP Gateway
- In Docker Desktop, go to MCP Toolkit > Clients tab
- Scroll to Visual Studio Code and select Connect
- Open VS Code and select the Extensions icon in the left toolbar
- Find MCP_DOCKER, select the gear icon, and select Start Server
Verify the connection
Open GitHub Copilot Chat in VS Code and ask:
What Arm migration tools do you have access to?
If the setup is correct, Copilot lists tools from:
- Arm MCP Server
- GitHub MCP Server
- Sequential Thinking MCP Server
This confirms that tool invocation through the MCP Gateway is working.
What you’ve learned and what’s next
You have:
- Enabled the Docker MCP Toolkit in Docker Desktop
- Configured three MCP servers: Arm MCP Server, GitHub MCP Server, and Sequential Thinking MCP Server
- Connected VS Code with GitHub Copilot to the MCP Gateway
- Verified that Copilot can access migration tools
Next, you’ll examine the demo application to identify x86-specific code that needs adaptation for Arm64.