Gamebrain Game Discovery
@ddsky
About Gamebrain Game Discovery
The GameBrain MCP server allows you to connect to the world of gaming knowledge from your favorite chat client that supports MCP such as Claude Desktop or ChatGPT. You can search and discover games, e.g. "best rpg games for PC in 2025" or you can get very detailed data about any
Basic information
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"gamebrain": {
"command": "npx",
"args": [
"-y",
"mcp-remote",
"https://api.gamebrain.co/v1/mcp?api-key=YOUR_KEY"
]
}
}
}Tools
4Search hundreds of thousands of video games from over 70 platforms
Get game suggestions based on (partial) search queries
Get all the details about a game given its id
Get games that are similar to the given one
Overview
What is Gamebrain Game Discovery?
Gamebrain Game Discovery is an MCP server that connects AI chat clients (like Claude Desktop or ChatGPT) to a database of over 680,000 video games, enabling game search, discovery, and retrieval of detailed game information.
How to use Gamebrain Game Discovery?
— (The README does not describe installation, configuration, or invocation commands.)
Key features of Gamebrain Game Discovery
- Search and discover games from a database of 680,000+ titles.
- Get detailed data about any specific video game.
- Works with any MCP‑compatible chat client.
- Supports natural‑language queries like “best RPG games for PC in 2025.”
Use cases of Gamebrain Game Discovery
- Ask a chat assistant for game recommendations based on genre, platform, or year.
- Retrieve comprehensive information about a specific game (e.g., Kingdom Come: Deliverance II).
FAQ from Gamebrain Game Discovery
What can Gamebrain Game Discovery do?
It lets you search for games and get detailed information about any title from a database of over 680,000 games.
Which chat clients are supported?
Any chat client that supports the Model Context Protocol (MCP), such as Claude Desktop or ChatGPT.
Does the server require any special setup?
— (The README does not mention setup requirements.)
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