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.
@MCP-Mirror
基本情報
Mirror of
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": {
"albertshao_wiki_mcp_server": {
"command": "docker",
"args": [
"build",
"-t",
"wiki-mcp-server",
"."
]
}
}
}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。
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.
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.
alm, wpb) from query context.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.
Authentication is handled via HTTP headers (`user_name`, `alm_confluence_base_url`, `alm_confluence_api_token`). Missing or invalid headers return a 400 error.
All wiki page data resides in your Confluence instance. The server only mediates requests and does not store any Confluence data locally.
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.
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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