Wiki MCP Server

@MCP-Mirror

代码仓库

基本信息

分类

记忆与知识

传输方式

stdio

作者

MCP-Mirror

关于 Wiki MCP Server

Mirror of

#mcp-server #confluence#wiki-management

Wiki 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": {
    "albertshao_wiki_mcp_server": {
      "command": "docker",
      "args": [
        "build",
        "-t",
        "wiki-mcp-server",
        "."
      ]
    }
  }
}

Wiki 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 📚 Wiki MCP Server?

An MCP (Model Context Protocol) server implementation for managing Confluence wiki pages. It provides tools to create, update, delete, and search pages, with automatic selection of the correct Confluence knowledge base based on user queries. Built for developers and teams using Confluence who want to integrate AI‑assisted page management through MCP-compatible clients.

How to use 📚 Wiki MCP Server?

Clone the repository, install dependencies with pip install -r requirements.txt, then run uvicorn wiki_mcp_server.server:app --host 0.0.0.0 --port 9999 --reload. Every request must include HTTP headers for authentication: user_name, alm_confluence_base_url, alm_confluence_api_token (and optionally wpb_confluence_base_url and wpb_confluence_api_token). Use the provided REST endpoints such as /create_page with a JSON body containing space_key, title, content, and user_query.

Key features of 📚 Wiki MCP Server

Create new Confluence wiki pages.
Update existing wiki pages.
Delete wiki pages by identifier.
Search wiki pages by keyword.
Auto‑select knowledge base (e.g., alm, wpb) from query context.

Use cases of 📚 Wiki MCP Server

Automate page creation in Confluence from AI‑driven workflows.
Bulk update documentation by passing structured data to the server.
Search across multiple Confluence instances using a natural‑language query.
Integrate Confluence page management into custom MCP‑compatible chatbots or assistants.

常见问题

What dependencies does 📚 Wiki MCP Server require?

Python 3.10 or higher, FastAPI, the MCP SDK, and the `requests` library. It also requires access to Confluence REST API endpoints and valid API tokens.

How does authentication work?

Authentication is handled via HTTP headers (`user_name`, `alm_confluence_base_url`, `alm_confluence_api_token`). Missing or invalid headers return a 400 error.

Where does data live?

All wiki page data resides in your Confluence instance. The server only mediates requests and does not store any Confluence data locally.

What transport protocol does the server use?

The server exposes REST endpoints (e.g., `/create_page`) over HTTP, making it usable by any MCP client that can send HTTP requests with JSON payloads.

Are there any known limits?

The README does not specify explicit limits. The server relies on Confluence API rate limits and the network connectivity of the client and Confluence instance.

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