What dependencies are needed to run the server?
Python 3.x with FastMCP, httpx, SQLAlchemy, Pydantic, and tenacity. Docker is recommended for running the Wiki.js instance itself.
@BehindUAll
基本信息
Model Context Protocol (MCP) server for Wiki.js with hierarchical documentation & Docker setup
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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。
A Model Context Protocol (MCP) server that integrates AI assistants with Wiki.js to create, manage, and synchronize hierarchical documentation across multiple repositories. Designed for organizations with large-scale documentation needs.
Clone the repository, configure environment variables in .env, start Wiki.js via Docker (docker-compose -f docker.yml up -d), and run ./setup.sh to install dependencies. Then either start the MCP server with ./start-server.sh or configure it in Cursor by adding the command to ~/.cursor/mcp.json.
Python 3.x with FastMCP, httpx, SQLAlchemy, Pydantic, and tenacity. Docker is recommended for running the Wiki.js instance itself.
You can use a JWT token (API key from Wiki.js admin panel) or provide username/password credentials in the `.env` file.
It uses a local SQLite database (`wikijs_mappings.db`) for file‑to‑page mappings and repository context information.
Add the `start-server.sh` command to your `~/.cursor/mcp.json` file, then click the refresh icon in Cursor to load all 21 tools.
No explicit limits are mentioned; the system is designed for enterprise scalability handling hundreds of repositories and thousands of files.

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