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Confluence Wiki MCP Server Extension

@MCP-Mirror

リポジトリ

基本情報

カテゴリ

メモリとナレッジ

ライセンス

MIT license

トランスポート

stdio

作者

MCP-Mirror

Confluence Wiki MCP Server Extension について

Mirror of

#confluence#mcp-server#wiki-integration

Confluence Wiki MCP Server Extension の設定

標準の設定はありません

このサーバーの README には解析可能な MCP 設定ブロックが含まれていません。インストール手順はリポジトリをご確認ください。

リポジトリ

Confluence Wiki MCP Server Extension のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Confluence Wiki MCP Server Extension?

This is a VSCode/Cursor extension that provides an MCP (Model Context Protocol) server for integrating with Confluence Wiki. It allows users to configure a secure connection to a Confluence instance, fetch wiki content, and convert it to Markdown for use by AI models in Cursor.

How to use Confluence Wiki MCP Server Extension?

Open the Command Palette and run “Confluence Wiki MCP Server: Configuration” to enter your Confluence host URL, username, and password. Credentials are saved in an encrypted file. Then in Cursor’s MCP settings, add a new MCP server with the name “Wiki”, type “Command”, and the command path shown on the configuration page. In a chat with an AI model, include a Confluence Wiki URL in your prompt; the tool will fetch, convert to Markdown, and pass the content to the AI.

Key features of Confluence Wiki MCP Server Extension

  • Integrates with Confluence Wiki via an MCP Server
  • Easy configuration interface with secure credential storage
  • Converts Wiki content to Markdown format

Use cases of Confluence Wiki MCP Server Extension

  • Summarizing a Confluence Wiki page using an AI model in Cursor
  • Fetching Confluence content to answer questions in a Cursor chat
  • Extracting and reformatting wiki documentation for AI-assisted editing

よくある質問

1

How do I configure the extension?

Open the Command Palette (`Cmd+Shift+P` / `Ctrl+Shift+P`), select “Confluence Wiki MCP Server: Configuration”, enter your Confluence host URL, username, and password, then click “Save Configuration”.

2

How are my credentials stored?

Credentials are stored securely in an encrypted file and are never exposed in VSCode settings.

3

What editors does this extension support?

The extension is designed for VSCode and Cursor, with specific setup instructions provided for Cursor’s MCP configuration.

4

What command should I use when adding the MCP server in Cursor?

The command is the path shown on the extension’s configuration page after you save your credentials. It is not a fixed command.

5

What format does the tool return content in?

The extension fetches Wiki content and converts it to Markdown format before providing it to the AI model.

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