一个MCP服务器，为AI助手提供用于Arm架构开发、迁移和优化的工具和知识。

使用 Arm MCP 服务器

如果你的目标是尽快将应用从 x86 迁移到 Arm，可以从这里开始：

使用 Arm MCP 服务器自动化 x86 到 Arm 应用迁移

特色

该MCP服务器为AI助手配备了用于Arm开发的专用工具：

• 知识库搜索：跨Arm文档、学习资源、内在材料和软件兼容性信息的语义搜索
• 代码迁移分析：使用迁移易度扫描代码库以确认与 Arm 兼容（支持 C++、Python、Go、JavaScript、Java）
• 容器架构检查：使用集成的 Skopeo 和 检查镜像工具检查 Docker 镜像架构支持。
• 汇编性能分析：使用 LLVM-MCA 分析汇编代码性能

预建图像

如果你更愿意使用预构建的多架构镜像，官方镜像可以在Docker Hub中找到：armlimited/arm-mcp:latest

先修条件

• 支持 Buildx 的 Docker
• 一个兼容MCP的AI助手客户端（例如：

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: Keyword and semantic search across Arm documentation, learning resources, intrinsics, and software compatibility information, with technical-name aliases
• 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.

For local development builds, see the Quick Local Development Builds section in CONTRIBUTING.md.

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",