[{"data":1,"prerenderedAt":1147},["ShallowReactive",2],{"/ja-jp/blog/new-mcp-tools-for-automation":3,"navigation-ja-jp":396,"banner-ja-jp":829,"footer-ja-jp":837,"blog-post-authors-ja-jp-Rebecca Carter":1091,"blog-related-posts-ja-jp-new-mcp-tools-for-automation":1105,"blog-share-wrapper-ja-jp":1128,"next-steps-ja-jp":1138},{"id":4,"title":5,"authors":6,"body":8,"category":375,"date":376,"description":377,"extension":378,"externalUrl":379,"faq":379,"featured":380,"heroImage":381,"meta":382,"navigation":383,"path":384,"seo":385,"slug":387,"stem":388,"tags":389,"template":393,"updatedDate":394,"__hash__":395},"blogPosts/ja-jp/blog/new-mcp-tools-for-automation.md","プラットフォームチームの自動化を支える新しいMCPツール",[7],"Rebecca Carter",{"type":9,"value":10,"toc":368},"minimark",[11,22,25,34,61,65,73,76,79,88,92,96,99,289,292,295,298,314,317,321,324,338,350],[12,13,14,15,21],"p",{},"エージェント型ツールは、コード補完の域をとうに超えています。パイプラインの実行、マージリクエストの作成、チームに代わる作業のトリアージ。そこまでを担う存在になりました。こうしたエージェントが既存のツールにアクセスする共通の手段として定着したのが、Model Context Protocol（",[16,17,20],"a",{"href":18,"rel":19},"https://about.gitlab.com/topics/ai/model-context-protocol/",[],"MCP","）です。組織のソフトウェアデリバリーパイプラインに触れるエージェントは、もはやプラットフォームチーム自身が選び、設定したものだけではありません。",[12,23,24],{},"そして、この到達範囲の広さこそ、自動化が足踏みしやすいポイントでもあります。エージェントにできることが増えるほど、確認なしでどこまで実行させてよいのかをプラットフォームチームが判断しなければなりません。これはガバナンスの課題であり、たいていはアクセスを広げるのではなく制限する方向で片づけられてしまいます。放置していても自然には解消しません。安全な読み取り専用の操作だけにエージェントを閉じ込めるか、大きく開放して何も起きないことを期待するか。そのどちらもスケールしません。",[12,26,27,28,33],{},"GitLabの答えは、幅広いツールアクセスと一貫したガバナンスを常にセットで届けることです。プラットフォームエンジニアが組織全体にエージェントを展開するとき、それがGitLabのフローであっても、",[16,29,32],{"href":30,"rel":31},"https://docs.gitlab.com/ja-jp/user/model_context_protocol/mcp_server/",[],"GitLab MCPサーバー","経由で接続したサードパーティのクライアントであっても、GitLabに対する到達範囲は同じでなければなりません。ただし、範囲が広がるほど制御の重みも増します。エージェントが単独で実行してよい操作と、レビュアーの確認が必要な操作。この線引きは人間が決めるべきです。定型的な読み取り専用の照会は速く進み、書き込み、マージ、削除にあたる操作は、そのチームが選んだレビュアーを待つ。目指しているのは、そうした状態です。",[35,36,37,51,54],"blockquote",{},[12,38,39,46,47],{},[40,41],"img",{"src":42,"alt":43,"width":44,"style":45},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1789485538/b1oin7kqcqoa4ezvabs0.png","",40,"vertical-align:middle;display:inline-block"," ",[48,49,50],"strong",{},"GitLab 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MCPサーバーのツールセットは大きく拡充されます。CI/CD、マージリクエスト、作業アイテム、脆弱性、プロジェクトの各ツールが追加されました。",[12,77,78],{},"実際の動作は、以下の動画でご確認ください。",[80,81],"iframe",{"src":82,"frameBorder":83,"allow":84,"referrerPolicy":85,"style":86,"title":87},"https://player.vimeo.com/video/1227782115?title=0&byline=0&portrait=0&badge=0&autopause=0&player_id=0&app_id=58479","0","autoplay; fullscreen; picture-in-picture; clipboard-write; encrypted-media; web-share","strict-origin-when-cross-origin","position:absolute;top:0;left:0;width:100%;height:100%;","19.4 MCP Tools- Agent Automation Control 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19.4では、マージリクエストのトリガーアクションに",[48,282,283],{},"作成","が追加されました。GitLabが差分を生成した時点、つまり誰かがマージリクエストを開いた瞬間に、フローや外部エージェントを実行できます。一次レビューや、関連イシューからのコンテキスト取得にご活用ください。設定は、プロジェクトの",[48,286,287],{},"AI > トリガー","、またはフローを有効化するタイミングで行います。",[62,290,291],{"id":291},"すべてのエージェントツールに共通するガバナンスモデル",[12,293,294],{},"ツールセットの拡充と合わせて、ツールガバナンスの対象はGitLab MCPサーバーにも拡大。GitLabに触れるエージェントは、社内のものであってもサードパーティのものであっても、同じ場所から同じ制御で管理されます。プラットフォームエンジニアが手にするのは、はるかに広いエージェント機能に適用できる単一のガバナンスモデルです。",[12,296,297],{},"GitLab MCPサーバーのツールは、GitLab Duo Agent Platformの内部ツールと並んで、同じグループ設定・プロジェクト設定に表示されます。モードはツールごとに設定できます。",[100,299,300,307],{},[103,301,302,303,306],{},"読み取り専用のツールは、デフォルトが",[48,304,305],{},"Always allow","（常に許可）です。定型的な照会でチームの作業が中断されません。",[103,308,309,310,313],{},"書き込みと削除のツールは、デフォルトが",[48,311,312],{},"Always ask","（常に確認）です。エージェントが何かを変更する前に、レビュアーが確認するチェックポイントが入ります。",[12,315,316],{},"社内のエージェントでも、サードパーティのMCPクライアント経由で接続するエージェントでも、適用されるルールは同じです。設定も同じ場所でまとめて行えます。",[62,318,320],{"id":319},"エージェント1つずつ自動化をスケールさせる","エージェント1つずつ、自動化をスケールさせる",[12,322,323],{},"拡張されたツールセットは、現在ベータ版として提供しています。ガバナンスと組み合わせることで、社内・サードパーティを問わずすべてのエージェントが同じルールのもとで動き、同じ深さのGitLabコンテキストにアクセスできるプラットフォームへの第一歩となります。今後ツールやトリガーが追加されても、ガバナンスモデルはそれに合わせて拡張されるため、新しいクライアントが増えるたびに設定し直す必要はありません。ガードレールの設定は一度で済みます。",[12,325,326,327,125,332,337],{},"さっそく試してみませんか。まずは",[16,328,331],{"href":329,"rel":330},"https://docs.gitlab.com/ja-jp/user/model_context_protocol/mcp_server_tools",[],"GitLab MCPサーバーツール",[16,333,336],{"href":334,"rel":335},"https://docs.gitlab.com/ja-jp/user/ai-governance/tool-governance/",[],"エージェントツールガバナンス","のドキュメントをご覧ください。",[12,339,340,341,344,345,337],{},"新しいMCPサーバーツールとガバナンスは、Free、Premium、Ultimateの各プランでベータ版として利用できます（脆弱性ツールのみUltimateプランが必要）。",[48,342,343],{},"マージリクエストの作成","トリガーの利用には、PremiumまたはUltimateプランと、GitLab Duo Agent 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Platformへのアクセス","GitLabの最も高度な機能を試す","AIで複雑なタスクを自動化する",{"text":403,"config":1135},{"href":1136,"dataGaName":406,"dataGaLocation":642},"https://gitlab.com/-/trials/new?glm_content=default-saas-trial&glm_source=about.gitlab.com/ja-jp/blog/","クレジットカードなしでご登録いただけます。",{"header":1139,"blurb":1140,"button":1141,"secondaryButton":1145},"今すぐ開発をスピードアップ","DevSecOpsに特化したインテリジェントオーケストレーションプラットフォームで実現できることをご確認ください。\n",{"text":403,"config":1142},{"href":1143,"dataGaName":406,"dataGaLocation":1144},"https://gitlab.com/-/trial_registrations/new?glm_content=default-saas-trial&glm_source=about.gitlab.com/ja-jp/","feature",{"text":727,"config":1146},{"href":736,"dataGaName":411,"dataGaLocation":1144},1791944957754]