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lodordev/mcp-romm

by Various

MCP server for RomM — browse and manage your retro game library with AI

L

MCP

lodordev/mcp-romm

Added 1 June 2026

Overview

An MCP server for RomM that lets you browse and manage your retro game library via the Model Context Protocol. It enables AI assistants to interact with your RomM collection.

Best for

Best for
Developers who want to manage their retro game library through AI assistants like Claude.

Use cases

  • Browsing your retro game collection through a conversational AI assistant.
  • Searching for specific games in your RomM library using natural language.
  • Retrieving game metadata and details from your library.

How to use

Install

pip install fastmcp httpx

Tools exposed

  • romm_status
  • romm_stats
  • romm_platforms
  • romm_library_items
  • romm_recent
  • romm_get_item
  • romm_search
  • romm_search_by_hash
  • romm_filters
  • romm_collections
  • romm_collection_detail
  • romm_smart_collections
  • romm_saves
  • romm_user_profile
  • romm_rom_notes
  • romm_firmware
  • romm_devices
  • romm_tasks
  • romm_scan_library
  • romm_set_status

Tested with

Claude Desktop, Claude Code

Notes

An MCP server for RomM that lets you browse and manage your retro game library via the Model Context Protocol. It enables AI assistants to interact with your RomM collection.

4 stars on GitHub. Last updated 2026-03-22. Licensed MIT.

Use cases

  • Browsing your retro game collection through a conversational AI assistant.
  • Searching for specific games in your RomM library using natural language.
  • Retrieving game metadata and details from your library.

Pros

  • Integrates with AI assistants through the standard MCP protocol.
  • Open-source Python project, easy to modify or extend.
  • Provides a natural language interface to manage RomM libraries.

Cons

  • Requires a running RomM server to function.
  • Limited by the features exposed via the MCP protocol.
  • Small community (4 stars) indicating early-stage project.

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Integrates with AI assistants through the standard MCP protocol.
  • Open-source Python project, easy to modify or extend.
  • Provides a natural language interface to manage RomM libraries.

Cons

  • Requires a running RomM server to function.
  • Limited by the features exposed via the MCP protocol.
  • Small community (4 stars) indicating early-stage project.
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