Gitscrum KnowledgeをChatGPTとClaudeに接続

• 01 / 01プロジェクトWikiの構築方法

最速日

944ms

最遅日

1302ms

14日間の傾向

遅延傾向+8%

GitScrum Connector

準備完了です。MCPクライアントを選択し、セットアップ手順に従ってください。

コネクタリンクhttps://edge.vinkius.com/vk_preview_aYZl75U8HMoTFXDX8n3M42NkJHirirx5iNI2BRUo/mcpコピー

Claude Desktop

以下の手順で数秒で接続できます。

1. 1In Claude Desktop, open Settings → Connectors.
2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
3. 3Click Add and start a new chat — GitScrum capabilities are ready to use.

設定 · claude_desktop_config.jsonコピー

{
  "mcpServers": {
    "gitscrum-knowledge-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_aYZl75U8HMoTFXDX8n3M42NkJHirirx5iNI2BRUo/mcp"
    }
  }
}

• Claude
• ChatGPT
• Cursor
• VS Code
• Windsurf
• Claude Code
• JetBrains
• Cline

各クライアントの手順ガイドはこちらです。 接続方法

Claude向けのガイド付きセットアップ？ GitScrumをClaudeや他のAIに設定する

このConnectorが対応するすべてのAIクライアントを見る ↑

• 01

  AIエンジニア・実践者

  ノートを構造化されたコンテキストとして利用し、セッションをまたいでエージェントに永続的な記憶を持たせることができます。

• 02

  テクニカルライター

  バージョン管理機能を持つWikiドキュメントを管理し、会話を通じて直接検索や更新が行えます。

• 03

  チームリーダー

  プラットフォームを切り替えることなく、非同期のチームコミュニケーションや意思決定の追跡を促進できます。

• 01

  How does the agent remember things between sessions?

  The agent uses the create_note capability to save information into GitScrum. These notes act as a persistent memory bank that the agent can read later.

• 02

  Can my team see what the AI agent writes?

  Notes are private by default. You can tell the agent to toggle the sharing visibility if you want to publish findings to the team.

• 03

  Does this work with my existing GitScrum wiki?

  Yes, the MCP can read, create, update, and delete wiki pages within your existing GitScrum project.

• 04

  What happens if the agent makes a mistake in a wiki page?

  The MCP includes capabilities to view revision histories and restore wiki pages to previous versions.

• 05

  Can the agent search through my team's chat messages?

  Yes, the agent can search through specific channels or perform a global search across all discussions and messages.

• 06

  Can my AI agent use notes as persistent memory across sessions?

  Absolutely. this is a core design goal. Use create_note to store decisions, context, or meeting summaries as markdown notes. Organize them into folders with create_note_folder and move_note_to_folder. Use toggle_note_share to publish findings to the team. Every edit is versioned via note_revisions so you can track how knowledge evolves.

• 07

  Can the agent search across everything in my workspace at once?

  Yes! The global_search capability performs a unified search across tasks, wiki pages, discussions, user stories, sprints, and notes. Results are grouped by resource type, so you instantly see where every mention lives. It's the fastest way to find anything in your workspace.

• 08

  Can the agent participate in team discussions and reply to threads?

  Yes. Use send_message to post updates to any discussion channel, and reply_to_message for threaded conversations. The agent can also create channels with create_channel, search message history with search_channel_messages, and review thread replies with thread_replies. enabling fully automated status updates and knowledge sharing.

• 

  Document360 AIコネクタ

  Manage knowledge bases via Document360 — list project versions, handle categories and articles, search content

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• 

  Slab AIコネクタ

  Manage your team's knowledge base — query wiki articles, create new documentation, and explore topics directly

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• 

  Mem AI (Knowledge Workspace) AIコネクタ

  Manage your knowledge base via Mem.ai — create notes, run AI semantic search, and organize collections.

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• 

  Tettra AIコネクタ

  Search, read, and create internal wiki pages on your Tettra knowledge base directly from your AI agent.

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