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.
Wiki MCP Server
@MCP-Mirror
Basic information
About Wiki MCP Server
Mirror of
Wiki MCP Server config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"albertshao_wiki_mcp_server": {
"command": "docker",
"args": [
"build",
"-t",
"wiki-mcp-server",
"."
]
}
}
}Wiki MCP Server tools
Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
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.
Frequently asked questions
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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