Arm MCP Server

Arm MCP Server

An MCP server providing AI assistants with tools and knowledge for Arm architecture development, migration, and optimization.

Using the Arm MCP Server

If your goal is to migrate an application from x86 to Arm as quickly as possible, start here:

Automate x86-to-Arm application migration using Arm MCP Server

Features

This MCP server equips AI assistants with specialized tools for Arm development:

• Knowledge Base Search: Semantic search across Arm documentation, learning resources, intrinsics, and software compatibility information
• Code Migration Analysis: Scan codebases for Arm compatibility using migrate-ease (supports C++, Python, Go, JavaScript, Java)
• Container Architecture Inspection: Check Docker image architecture support using integrated Skopeo and check-image tools.
• Assembly Performance Analysis: Analyze assembly code performance using LLVM-MCA

Pre-Built Image

If you would prefer to use a pre-built, multi-arch image, the official image can be found in Docker Hub here: armlimited/arm-mcp:latest

Prerequisites

• Docker with Buildx support
• An MCP-compatible AI assistant client (e.g. GitHub Copilot, Kiro CLI, Codex CLI, Claude Code, etc)

Quick Start

1. Build the Docker Image

From the root of this repository:

docker buildx build -f mcp-local/Dockerfile -t armlimited/arm-mcp . --load

This builds for the Docker host's native architecture. The release workflow is responsible for explicit multi-architecture builds.

2. Configure Your MCP Client

Choose the configuration that matches your MCP client:

Claude Code

Add to .mcp.json in your project:

{
  "mcpServers": {
    "arm-mcp": {
      "command": "docker",
      "args": [
        "run",
        "--rm",
        "-i",
        "--pull=always",
        "-v", "/path/to/your/workspace:/workspace",
        "armlimited/arm-mcp"
      ]
    }
  }
}

GitHub Copilot (VS Code)

Add to .vscode/mcp.json in your project, or globally at ~/Library/Application Support/Code/User/mcp.json (macOS):

{
  "servers": {
    "arm-mcp": {
      "type": "stdio",
      "command": "docker",
      "args": [
        "run",
        "--rm",
        "-i",
        "--pull=always",
        "-v", "/path/to/your/workspace:/workspace",
        "armlimited/arm-mcp"
      ]
    }
  }
}

The easiest way to open this file in VS Code for editing is command+shift+p and search for

MCP: Open User Configuration

AWS Kiro CLI

Add to ~/.kiro/settings/mcp.json:

{
  "mcpServers": {
    "arm-mcp": {
      "command": "docker",
      "args": [
        "run",
        "--rm",
        "-i",
        "--pull=always",
        "-v", "/path/to/your/workspace:/workspace",
        "armlimited/arm-mcp"
      ],
      "timeout": 60000
    }
  }
}

Gemini CLI

It is recommended to use a project-local configuration file to ensure the relevant workspace is mounted.

Add to .gemini/settings.json in your project root:

{
  "mcpServers": {
    "arm-mcp": {
      "command": "docker",
      "args": [
        "run",
        "--rm",
        "-i",
        "--pull=always",
        "-v", "/path/to/your/workspace:/workspace",
        "armlimited/arm-mcp"
      ]
    }
  }
}

MCP Clients using TOML format (e.g. Codex CLI)

[mcp_servers.arm-mcp]
command = "docker"
args = [
  "run",
  "--rm",
  "-i",
  "--pull=always",
  "-v", "/path/to/your/workspace:/workspace",
  "armlimited/arm-mcp"
]

Note: Replace /path/to/your/workspace with the actual path to your project directory that you want the MCP server to access.

3. Restart Your MCP Client

After updating the configuration, restart your MCP client to load the Arm MCP server.

Logging

Depending on usage, the server may write two log files under /workspace. With the configuration examples above, these files appear in the project directory on your computer:

• mcp-traffic.jsonl records when tools are used, the inputs provided, and the reason for each tool call. It also records results from knowledge base searches.
• error_logging.yaml records details about errors encountered by the server. This information can help with troubleshooting.

These logs may contain information from your project and tool requests. Review their contents before sharing them.

Development and contributing

See CONTRIBUTING.md for repository structure, integration testing, reproducible build inputs, runtime-egress validation, dependency updates, and release workflows.

Troubleshooting

Accessing the Container Shell

To debug or explore the container environment:

docker run --rm -it --entrypoint /bin/bash armlimited/arm-mcp

Common Issues

• Timeout errors during migration scans: Increase the timeout value in your MCP client configuration (e.g., "timeout": 120000 for 2 minutes)
• Empty workspace: Ensure your volume mount path is correct and the directory exists
• Architecture mismatches: Confirm that the local image matches the Docker host's native architecture; use the release workflow for explicit cross-platform builds.

License

Copyright © 2026, Arm Limited and Contributors. All rights reserved.

Licensed under the Apache License, Version 2.0. See LICENSE for details.