Lutris MCP Server

Lutris MCP Server

Enables AI assistants to browse, search, and manage a Lutris Linux gaming library. It provides tools for modifying game details, organizing categories, and accessing collection statistics directly from the Lutris SQLite database.

Category
Visit Server

README

lutris-mcp

MCP server for managing your Lutris game library. Gives AI assistants direct access to browse, search, organize, launch, and install games in your Linux gaming collection.

Examples

Here are some things you can ask your AI assistant once this server is connected:

  • "What games do I have installed?"
  • "Show me my most played games"
  • "Search my Steam library for Hades"
  • "Launch Balatro"
  • "Install this game from /path/to/setup.exe"
  • "Add all my roguelike games to a 'Roguelike' category"
  • "Are there any duplicate games in my library?"
  • "Show me the log for my last Hades II session"
  • "Export my installed games as JSON"
  • "Set the cover art for Timberborn from this image"

Installation

Quick Start (npx)

No install needed — just add to your MCP client config:

{
  "mcpServers": {
    "lutris": {
      "command": "npx",
      "args": ["-y", "lutris-mcp"]
    }
  }
}

Global Install

npm install -g lutris-mcp

Then configure your MCP client:

{
  "mcpServers": {
    "lutris": {
      "command": "lutris-mcp"
    }
  }
}

From Source

git clone https://github.com/Praeses0/lutris-mcp.git
cd lutris-mcp
npm install
npm run build
{
  "mcpServers": {
    "lutris": {
      "command": "node",
      "args": ["/path/to/lutris-mcp/dist/index.js"]
    }
  }
}

Requirements

  • Lutris installed and set up
  • Node.js 20+

Tools

Library

Tool Description
list_games List and filter games with pagination, sorting, and smart search
get_game Get full game details including categories, config, and media paths
add_game Add a new game to the library
update_game Update fields on an existing game
remove_game Remove a game from the database (does not delete files)
get_library_stats Aggregate stats: totals, playtime, breakdowns by runner/platform/service
find_duplicates Find potential duplicate games (same directory or similar slugs)
export_library Export full library as JSON with optional filters (category, runner, installed)

Categories

Tool Description
list_categories List all categories with game counts
create_category Create a new category
assign_category Add a game to a category
unassign_category Remove a game from a category
bulk_assign_category Add multiple games to a category at once

Services

Tool Description
search_service_games Search games synced from Steam, GOG, etc.
import_service_game Import a service game into your Lutris library

Launch & Install

Tool Description
launch_game Launch an installed game via Lutris
install_game Install a game from a Lutris installer slug or local setup executable
check_game_running Check if a game is currently running (multi-strategy detection)

Configuration

Tool Description
read_game_config Read a game's YAML configuration file
write_game_config Update or create a game's YAML configuration (deep-merged)

Media

Tool Description
set_game_cover Set a game's cover art, banner, or icon from a local file
get_game_media Get all media paths for a game with existence check

System

Tool Description
list_runners List available Lutris runners or Wine versions
view_game_log Read the last launch log for a game (for troubleshooting)

Bulk Operations

Tool Description
bulk_update_games Update a field on multiple games at once

Environment Variables

Variable Default Description
LUTRIS_DB_PATH ~/.local/share/lutris/pga.db Path to Lutris SQLite database
LUTRIS_GAMES_CONFIG_DIR ~/.config/lutris/games Path to game YAML configs
LUTRIS_DATA_DIR ~/.local/share/lutris Path to Lutris data directory (media, logs)

Development

npm install       # install dependencies
npm run build     # compile TypeScript
npm test          # run tests (219 tests)
npm run dev       # run with tsx (hot reload)

License

MIT

Recommended Servers

playwright-mcp

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.

Official
Featured
TypeScript
Magic Component Platform (MCP)

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.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

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.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

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.

Official
Featured
TypeScript
Kagi MCP Server

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.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

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.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured