Confluence MCP Server

@pawankumar94

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基本情報

カテゴリ

メモリとナレッジ

トランスポート

stdio

作者

pawankumar94

Confluence MCP Server について

Confluence MCP server providing API tools for Atlassian Confluence operations including page management, space handling, and content search with built-in rate limiting and error handling.

#vertex#confluence-server#generativeai#gemini-pro#modelcontext

Confluence MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "confluence-mcp-server-pawankumar94": {
      "command": "python",
      "args": [
        "example.py"
      ]
    }
  }
}

Confluence MCP Server 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 MCP Server?

A Model Context Protocol (MCP) server implementation for Atlassian Confluence. It provides a set of tools for interacting with Confluence through the MCP protocol, allowing AI agents to seamlessly work with Confluence content. Built with Flask for easy deployment to Cloud Run.

How to use Confluence MCP Server?

Clone the repository, install dependencies with pip install -r requirements.txt, create a .env file with CONFLUENCE_URL, CONFLUENCE_ACCESS_TOKEN, and optional PORT, then run python example.py to start the server locally at http://localhost:8080. For Cloud Run, build and push a Docker image, then deploy with gcloud run deploy.

Key features of Confluence MCP Server

Search pages and spaces using Confluence Query Language (CQL)
List all available Confluence spaces
Create, read, update, and delete Confluence pages
Rich metadata support for Confluence resources
Flask-based server for Cloud Run deployment
MCP tools for AI agent integration

Use cases of Confluence MCP Server

An AI assistant searching Confluence documentation to answer user questions
Automating page creation and updates across multiple spaces
Retrieving and summarizing page content for knowledge management
Integrating Confluence data into other MCP-compatible workflows

よくある質問

What authentication does Confluence MCP Server require?

It requires a Confluence access token obtained from Atlassian Account Settings, configured via the `CONFLUENCE_ACCESS_TOKEN` environment variable.

How do I deploy Confluence MCP Server to Cloud Run?

Build the Docker image, tag and push it to Google Container Registry, then run `gcloud run deploy` with your Confluence URL and access token set as environment variables.

What transport does Confluence MCP Server use?

The server runs as a Flask web application, exposed over HTTP on port 8080 (configurable).

What happens when an error occurs?

All tools include proper error handling and return an error response in the format `{"error": "error message"}`.

Where is Confluence data stored?

Data is accessed live from your Atlassian Confluence instance using the provided URL and token; no data is stored locally by the server.

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