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Confluence MCP Server

@pawankumar94

代码仓库主页

基本信息

分类

记忆与知识

传输方式

stdio

作者

pawankumar94

关于 Confluence MCP Server

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 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

Confluence MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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

常见问题

1

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.

2

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.

3

What transport does Confluence MCP Server use?

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

4

What happens when an error occurs?

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

5

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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