Model Context Protocol (MCP) server for Wiki.js with hierarchical documentation & Docker setup
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"wikijs": {
"command": "/path/to/wiki-js-mcp/start-server.sh"
}
}
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A comprehensive Model Context Protocol (MCP) server for Wiki.js integration with hierarchical documentation support and Docker deployment. Perfect for organizations managing multiple repositories and large-scale documentation.
No automated test available for this server. Check the GitHub README for setup instructions.
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A comprehensive Model Context Protocol (MCP) server for Wiki.js integration with hierarchical documentation support and Docker deployment. Perfect for organizations managing multiple repositories and large-scale documentation.
First, clone this repository and set up environment variables:
# Copy environment template
cp config/example.env .env
# Edit .env with your credentials:
# - Set POSTGRES_PASSWORD to a secure password
# - Update other settings as needed
# Start Wiki.js with Docker
docker-compose -f docker.yml up -d
Wiki.js will be available at http://localhost:3000
Complete the initial setup in the web interface
# Install Python dependencies
./setup.sh
# Update .env with Wiki.js API credentials:
# - Get API key from Wiki.js admin panel
# - Set WIKIJS_TOKEN in .env file
# Test the connection
./test-server.sh
# Start MCP server
# (not needed for AI IDEs like Cursor, simply click on the refresh icon after editing mcp.json
# and you should see a green dot with all tools listed. In existing open Cursor windows,
# this refresh is necessary in order to use this MCP)
./start-server.sh
Add to your ~/.cursor/mcp.json:
{
"mcpServers": {
"wikijs": {
"command": "/path/to/wiki-js-mcp/start-server.sh"
}
}
}
Add these Global Rules in Cursor to automatically leverage documentation before coding:
Before writing any code, always:
1. Search existing documentation using wikijs_search_pages to understand current patterns and architecture
2. Check for related components, functions, or modules that might already exist
3. If documentation exists for similar functionality, follow the established patterns and naming conventions
4. If no documentation exists, create it using wikijs_create_page or wikijs_create_nested_page before implementing
5. Always update documentation when making changes using wikijs_sync_file_docs
6. For new features, use wikijs_create_repo_structure to plan the documentation hierarchy first
These rules ensure that your AI assistant will:
# Before starting a new feature
"Search the documentation for authentication patterns before implementing login"
# When creating components
"Create nested documentation under frontend-app/components before building the React component"
# For API development
"Check existing API documentation and create endpoint docs using the established structure"
# During refactoring
"Update all related documentation pages for the files I'm about to modify"