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@ec2_on_aws

Windowユーザーよ立ち上がれ！！GitHub Copilot × AWS MCP Serverが使えるぞ！！

Posted at

はじめに

  • 昨今話題のMCP、皆さん使われていますか？
  • そんなMCPを使用するために、皆さんどんなツールを使われていますか？
  • ただ、企業によっては上記がポリシーとして利用不可なことがあります
    • かくいう私の所属企業でも、限られたツールしか利用できません
  • MCPを使用するためには、弊社の場合WindowsでGitHub Copilotを上手く設定するしかないのですが、これに大苦戦しました
  • 数週間苦戦し諦めかけたりもしたのですが、何とか動いてくれるようになりましたので、その手順をご紹介します

なぜこうした特殊な対応が必要となったのかはわかっていません
あくまでこうすればWindowsでも動作しました！をご紹介しているのみである点、ご了承ください

前提

  • OS
    • Windows 11 Pro
    • 24H2
  • VSCode
    • バージョン: 1.100.1 (user setup)
  • GitHub Copilot
    • VSCode拡張機能として
    • 1.322.0
    • 本記事ではFree版を使用していますが、Pro版でも動作を確認しています

手順

みんな大好き、AWS向けTerraformに活用できるAWS Terraform MCP Serverを試してみます

  1. uvをインストール

    • 実行コマンド
    > pip install uv
    • 実行例
    > pip install uv
Collecting uv
Downloading uv-0.7.4-py3-none-win_amd64.whl.metadata (11 kB)
Downloading uv-0.7.4-py3-none-win_amd64.whl (18.4 MB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 18.4/18.4 MB 10.0 MB/s eta 0:00:00
Installing collected packages: uv
Successfully installed uv-0.7.4
>
    • 確認コマンド
    > uv v
Using CPython 3.12.2 interpreter at: AppData\Local\Programs\Python\Python312\python.exe
Creating virtual environment at: .venv
Activate with: .venv\Scripts\activate
> uvx -V
uvx 0.7.4 (6fbcd09b5 2025-05-15)
>

  2. uvでpython3.10をインストール

    • 実行コマンド
    > uv python install 3.10
    • 実行例
    > uv python install 3.10
Installed Python 3.10.17 in 8.38s
+ cpython-3.10.17-windows-x86_64-none
>

  3. 【ポイント】MCPサーバをPythonパッケージとしてインストールする

    • 実行コマンド

      • インストールするパッケージ名は、MCPサーバ名が該当します
      • 今回だと以下の矢印箇所を使用します
      {
    "mcpServers": {
        "awslabs.terraform-mcp-server": {    ⬅
        "command": "uvx",
        "args": ["awslabs.terraform-mcp-server@latest"],
        "env": {
            "FASTMCP_LOG_LEVEL": "ERROR"
        },
        "disabled": false,
        "autoApprove": []
        }
    }
}

    pip install awslabs.terraform-mcp-server
    • 実行例
      • 以下例ではインストール済み環境であったため、alreadyとなっています
    pip実行例 
    > pip install awslabs.terraform-mcp-server
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>

    • 確認

      • 以下のうち、矢印のLocationの値とFiles直下の値をこの後使います
      Location: C:\Users\xxxxx\AppData\Local\Programs\Python\Python312\Lib\site-packages
..\..\Scripts\awslabs.terraform-mcp-server.exe

    > pip show -f awslabs.terraform-mcp-server
Name: awslabs.terraform-mcp-server
Version: 0.0.10
Summary: An AWS Labs Model Context Protocol (MCP) server for terraform
Home-page:
Author:
Author-email:
License:
Location: C:\Users\xxxxx\AppData\Local\Programs\Python\Python312\Lib\site-packages    ⬅
Requires: beautifulsoup4, checkov, loguru, mcp, playwright, pydantic, pypdf2, requests
Required-by:
Files:
    ..\..\Scripts\awslabs.terraform-mcp-server.exe    ⬅
    awslabs\__init__.py
    awslabs\__pycache__\__init__.cpython-312.pyc
    awslabs\terraform_mcp_server\__init__.py
    awslabs\terraform_mcp_server\__pycache__\__init__.cpython-312.pyc
    awslabs\terraform_mcp_server\__pycache__\server.cpython-312.pyc
    awslabs\terraform_mcp_server\impl\resources\__init__.py
    awslabs\terraform_mcp_server\impl\resources\__pycache__\__init__.cpython-312.pyc
    awslabs\terraform_mcp_server\impl\resources\__pycache__\terraform_aws_provider_resources_listing.cpython-312.pyc
    awslabs\terraform_mcp_server\impl\resources\__pycache__\terraform_awscc_provider_resources_listing.cpython-312.pyc
    awslabs\terraform_mcp_server\impl\resources\terraform_aws_provider_resources_listing.py
    awslabs\terraform_mcp_server\impl\resources\terraform_awscc_provider_resources_listing.py
    awslabs\terraform_mcp_server\impl\tools\__init__.py
    awslabs\terraform_mcp_server\impl\tools\__pycache__\__init__.cpython-312.pyc
    awslabs\terraform_mcp_server\impl\tools\__pycache__\execute_terraform_command.cpython-312.pyc
    awslabs\terraform_mcp_server\impl\tools\__pycache__\run_checkov_scan.cpython-312.pyc
    awslabs\terraform_mcp_server\impl\tools\__pycache__\search_aws_provider_docs.cpython-312.pyc
    awslabs\terraform_mcp_server\impl\tools\__pycache__\search_awscc_provider_docs.cpython-312.pyc
    awslabs\terraform_mcp_server\impl\tools\__pycache__\search_specific_aws_ia_modules.cpython-312.pyc
    awslabs\terraform_mcp_server\impl\tools\__pycache__\search_user_provided_module.cpython-312.pyc
    awslabs\terraform_mcp_server\impl\tools\__pycache__\utils.cpython-312.pyc
    awslabs\terraform_mcp_server\impl\tools\execute_terraform_command.py
    awslabs\terraform_mcp_server\impl\tools\run_checkov_scan.py
    awslabs\terraform_mcp_server\impl\tools\search_aws_provider_docs.py
    awslabs\terraform_mcp_server\impl\tools\search_awscc_provider_docs.py
    awslabs\terraform_mcp_server\impl\tools\search_specific_aws_ia_modules.py
    awslabs\terraform_mcp_server\impl\tools\search_user_provided_module.py
    awslabs\terraform_mcp_server\impl\tools\utils.py
    awslabs\terraform_mcp_server\models\__init__.py
    awslabs\terraform_mcp_server\models\__pycache__\__init__.cpython-312.pyc
    awslabs\terraform_mcp_server\models\__pycache__\models.cpython-312.pyc
    awslabs\terraform_mcp_server\models\models.py
    awslabs\terraform_mcp_server\scripts\__pycache__\generate_aws_provider_resources.cpython-312.pyc
    awslabs\terraform_mcp_server\scripts\__pycache__\generate_awscc_provider_resources.cpython-312.pyc
    awslabs\terraform_mcp_server\scripts\__pycache__\scrape_aws_terraform_best_practices.cpython-312.pyc
    awslabs\terraform_mcp_server\scripts\generate_aws_provider_resources.py
    awslabs\terraform_mcp_server\scripts\generate_awscc_provider_resources.py
    awslabs\terraform_mcp_server\scripts\scrape_aws_terraform_best_practices.py
    awslabs\terraform_mcp_server\server.py
    awslabs\terraform_mcp_server\static\AWSCC_PROVIDER_RESOURCES.md
    awslabs\terraform_mcp_server\static\AWS_PROVIDER_RESOURCES.md
    awslabs\terraform_mcp_server\static\AWS_TERRAFORM_BEST_PRACTICES.md
    awslabs\terraform_mcp_server\static\MCP_INSTRUCTIONS.md
    awslabs\terraform_mcp_server\static\TERRAFORM_WORKFLOW_GUIDE.md
    awslabs\terraform_mcp_server\static\__init__.py
    awslabs\terraform_mcp_server\static\__pycache__\__init__.cpython-312.pyc
    awslabs_terraform_mcp_server-0.0.10.dist-info\INSTALLER
    awslabs_terraform_mcp_server-0.0.10.dist-info\METADATA
    awslabs_terraform_mcp_server-0.0.10.dist-info\RECORD
    awslabs_terraform_mcp_server-0.0.10.dist-info\REQUESTED
    awslabs_terraform_mcp_server-0.0.10.dist-info\WHEEL
    awslabs_terraform_mcp_server-0.0.10.dist-info\entry_points.txt
>

  4. MCPサーバのexeファイルの絶対パスを確認する

    • 上記で取得した、LocationとFileパス情報を組合せます
    Location: C:\Users\xxxxx\AppData\Local\Programs\Python\Python312\Lib\site-packages
..\..\Scripts\awslabs.terraform-mcp-server.exe
    • 今回の例では、以下のようになります
    C:\Users\xxxxx\AppData\Local\Programs\Python\Python312\Scripts\awslabs.terraform-mcp-server.exe
    • 作成できたと思ったら、dirコマンドで確認しましょう
    > dir C:\Users\xxxxx\AppData\Local\Programs\Python\Python312\Scripts\awslabs.terraform-mcp-server.exe


    ディレクトリ: C:\Users\xxxxx\AppData\Local\Programs\Python\Python312\Scripts


Mode                 LastWriteTime         Length Name
----                 -------------         ------ ----
-a----        2025/05/15     22:10         108435 awslabs.terraform-mcp-server.exe


>
    • 加えて、JSON内でパスを記述する際、Windowsのバックスラッシュ（\）はJSONの特殊文字なのでエスケープする必要があります。
      • そのため、各バックスラッシュを二重にして「\」と記述します。
    C:\\Users\\xxxxx\\AppData\\Local\\Programs\\Python\\Python312\\Scripts\\awslabs.terraform-mcp-server.exe

  5. setting.jsonを開く

    • VScode左下の歯車→"設定"をクリック
      VSCode_設定.png

    • 検索窓に"mcp"と検索し、"settings.jsonで編集"をクリック
      setting.json.png

  6. settings.jsonを編集

    • デフォルトは以下のようになっているはずです（既存の設定は拡張機能により異なりますが、mcpの項目は空のはずです）
    {
    "mcp": {

    }
}
    • 以下のようにmcpサーバ情報を記載します
      • このうち、commandの箇所は工程4で作成したMCPサーバのexeの絶対パスを記載します
    {
    "mcp": {
        "servers": {
            "awslabs.terraform-mcp-server": {
                "command": "C:\\Users\\xxxxx\\AppData\\Local\\Programs\\Python\\Python312\\Scripts\\awslabs.terraform-mcp-server.exe",
                "args": [],
                "env": {
                    "FASTMCP_LOG_LEVEL": "ERROR"
                },
            }
        }
    }
}

  7. mcpサーバを起動する

    • 設定できていると、以下のように"起動"という表示になります
      MCP_起動前.png

    • ここで"起動"をクリックし、設定が上手くいっていると、以下のように"実行中"となります
      MCP_起動.png

  8. GitHub CopilotのAgentモードでMCPサーバを呼び出してみる

    • EKS blueprintにある、Fully Private Amazon EKS Clusterに対し、Auto Modeを有効化してみます

    • すると、無事、MCPを使用してよいか聞かれました
      Agent実行前-2.png

    • "続行"すると、処理が開始されます
      Agent実行後-2.png

    • コード編集は以下のように提案されました。いいですね
      Agent実行後-2_コード.png

おわりに

  • 今回の手順では"awslabs.terraform-mcp-server"を利用する手順をご紹介しました
  • そのほかいくつかのAWS MCPを試してみましたが、問題なく利用可能でした
    • 以下は複数のMCPサーバを設定する例です
    {
    "mcp": {
        "servers": {
            "awslabs.terraform-mcp-server": {
                "command": "C:\\Users\\xxxxx\\AppData\\Local\\Programs\\Python\\Python312\\Scripts\\awslabs.terraform-mcp-server.exe",
                "args": [],
                "env": {
                    "FASTMCP_LOG_LEVEL": "ERROR"
                },
            },
            "awslabs.aws-documentation-mcp-server": {
                "command": "C:\\Users\\xxxxx\\AppData\\Local\\Programs\\Python\\Python312\\Scripts\\awslabs.aws-documentation-mcp-server.exe",
                "args": [],
                "env": {
                    "FASTMCP_LOG_LEVEL": "ERROR"
                },
            },
            "awslabs.cost-analysis-mcp-server": {
                "command": "C:\\Users\\xxxxx\\AppData\\Local\\Programs\\Python\\Python312\\Scripts\\awslabs.cost-analysis-mcp-server.exe",
                "args": [],
                "env": {
                    "FASTMCP_LOG_LEVEL": "ERROR"
                },
            },
            "awslabs.aws-diagram-mcp-server": {
                "command": "C:\\Users\\xxxxx\\AppData\\Local\\Programs\\Python\\Python312\\Scripts\\awslabs.aws-diagram-mcp-server.exe",
                "args": [],
                "env": {
                    "FASTMCP_LOG_LEVEL": "ERROR"
                },
            },
            "awslabs.code-doc-gen-mcp-server": {
                "command": "C:\\Users\\xxxxx\\AppData\\Local\\Programs\\Python\\Python312\\Scripts\\awslabs.code-doc-gen-mcp-server.exe",
                "args": [],
                "env": {
                    "FASTMCP_LOG_LEVEL": "ERROR"
                },
            }
        }
    }
}
  • この手順にて、Windows × GitHub CopilotユーザーもMCPの恩恵を受けるための一助になればと幸いです

注意事項

つぶやき

  • Amazon Q Developer for CLIがWindowsでも利用可能になること、切に願っています
  • もちろん、WSLやDockerを使わなくてよい実行方式で、です...
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