omarchy-mcp
Enables semantic search over Omarchy, Arch Linux, and Hyprland documentation, allowing users to query configuration and usage information via natural language in Cursor, OpenCode, or Claude Code.
README
Omarchy MCP Server
A Model Context Protocol (MCP) server providing semantic search over Omarchy, Arch Linux, and Hyprland documentation.
Version Information
- Omarchy: v3.8.2 (pinned)
- Omarchy Releases: All versions up to v3.8.2
- Arch Wiki: Latest (updated via script)
- Hyprland Wiki: Latest (updated via script)
Note: This server contains Omarchy v3.8.2 documentation. Some features may differ if you are on a different version.
Prerequisites
- Arch-based Linux system (uses pacman for arch-wiki-docs)
- Docker and Docker Compose
- Git
- 10 GB free disk space
- Internet connection for initial setup
Quick Start
1. Clone the Repository
git clone https://github.com/Zeus-Deus/omarchy-mcp.git
cd omarchy-mcp
2. Run Setup
chmod +x scripts/setup.sh
./scripts/setup.sh
This will take approximately 3-4 minutes and will:
- Restore Omarchy v3.8.2 docs from snapshot
- Download latest Arch Wiki and Hyprland documentation
- Build and start Docker containers
- Process and ingest all documentation into vector database
- Create 8,500+ searchable documentation chunks
Upgrading Omarchy Version
To upgrade to a new Omarchy version:
./scripts/upgrade.sh 3.4.2
docker-compose restart mcp-server
That's it - the script handles everything (download docs, process, ingest, create snapshot).
3. Configure Cursor IDE
Create or edit ~/.cursor/mcp.json:
{
"mcpServers": {
"omarchy-kb": {
"command": "docker",
"args": [
"exec",
"-i",
"omarchy-mcp-server",
"python",
"/app/mcp_server/main.py"
]
}
}
}
Important: Restart Cursor completely after adding the configuration.
4. Configure OpenCode
Create or edit ~/.config/opencode/opencode.json:
{
"$schema": "https://opencode.ai/config.json",
"autoupdate": false,
"mcp": {
"omarchy-kb": {
"type": "local",
"command": [
"docker",
"exec",
"-i",
"omarchy-mcp-server",
"python",
"/app/mcp_server/main.py"
]
}
}
}
5. Configure Claude Code
Run the following command in your terminal:
claude mcp add --scope user omarchy-kb -- docker exec -i omarchy-mcp-server python /app/mcp_server/main.py
Restart Claude Code after adding the configuration. Verify the server is connected:
claude mcp list
6. Use in Cursor / OpenCode / Claude Code
- Open your IDE (Cursor, OpenCode, or Claude Code)
- Switch to Agent mode (click "Ask" dropdown in bottom-left, select "Agent")
- In the chat, type queries like:
Use omarchy-kb to search for waybar configuration
Or:
How do I configure Hyprland keybindings in Omarchy?
Or:
Use omarchy-kb to tell me what's new in Omarchy version 3.2.0
Available Tools
The MCP server provides these tools:
- search_documentation - Semantic search across all documentation
- find_config_location - Find configuration file paths for applications
- compare_omarchy_vs_arch - Compare Omarchy vs vanilla Arch/Hyprland implementations
- get_server_info - View server statistics and capabilities
Documentation Sources
The knowledge base includes:
| Source | Priority | Description |
|---|---|---|
| Omarchy | 1 (highest) | Omarchy-specific documentation and customizations |
| Omarchy Releases | 1 (highest) | GitHub release notes with changelogs and new features |
| Hyprland | 2 | Hyprland window manager documentation |
| Arch Wiki | 3 | Base Arch Linux documentation |
Priority System: When conflicts occur, Omarchy documentation takes precedence over Hyprland and Arch.
Updating Documentation
Note: Omarchy documentation and release notes remain at v3.8.2 (pinned version). To update Arch Wiki and Hyprland documentation, re-run the setup script or manually execute the download and processing scripts.
Manual Operations
Stop the Server
docker-compose down
Start the Server
docker-compose up -d
View Logs
docker logs -f omarchy-mcp-server
Rebuild After Code Changes
docker-compose down
docker-compose build
docker-compose up -d
Project Structure
omarchy-mcp/
├── data/
│ ├── snapshots/
│ │ └── omarchy-3.8.2-processed/ # Version snapshot (in Git)
│ ├── raw/ # Downloaded HTML (ignored)
│ └── processed/ # Cleaned JSON (ignored)
├── scripts/
│ ├── setup.sh # Initial setup script
│ ├── 1_download_archwiki.sh # Download Arch Wiki
│ ├── 2_download_hyprland.sh # Download Hyprland wiki
│ ├── 3_download_omarchy.sh # Download Omarchy manual
│ ├── 4_clean_archwiki.py # Clean Arch HTML to JSON
│ ├── 5_clean_hyprland.py # Clean Hyprland MD to JSON
│ ├── 6_clean_omarchy.py # Clean Omarchy HTML to JSON
│ ├── 7_ingest_to_chroma.py # Ingest to vector database
│ ├── 8_download_omarchy_releases.py # Download Omarchy releases (NEW!)
│ └── 9_clean_omarchy_releases.py # Clean releases to JSON (NEW!)
├── mcp_server/
│ └── main.py # MCP server implementation
├── docker-compose.yml # Docker services definition
├── Dockerfile # Container build instructions
├── requirements.txt # Python dependencies
└── README.md
Troubleshooting
Server Not Connecting in Cursor
- Ensure Docker containers are running:
docker ps - Check server logs:
docker logs omarchy-mcp-server - Verify you are in Agent mode in Cursor (not "Ask" mode)
- Restart Cursor completely after updating config
No Results from Queries
- Verify vector database is populated:
docker exec omarchy-mcp-server python -c "
import chromadb
client = chromadb.HttpClient(host='chromadb', port=8000)
collection = client.get_collection('omarchy_docs')
print(f'Documents: {collection.count()}')
"
- Should show approximately 8,500+ documents
Setup Script Fails
- Ensure Docker daemon is running:
systemctl status docker - Check available disk space:
df -h - Verify internet connection
- Try running steps manually from
scripts/setup.sh
Technical Details
- Vector Database: ChromaDB
- Embedding Model: all-MiniLM-L6-v2 (sentence-transformers)
- Chunk Size: 400 words per document chunk
- Search Method: Cosine similarity on embeddings
- Protocol: Model Context Protocol (MCP) via stdio
Contributing
Issues and pull requests welcome at https://github.com/Zeus-Deus/omarchy-mcp
License
GNU General Public License v3.0 (GPL-3.0)
See LICENSE for full license text.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.