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ddsky/gamebrain-api-clients

by Various

☁️ - Search and discover hundreds of thousands of video games on any platform through the [GameBrain API](https://gamebrain.co/api).

D

MCP

ddsky/gamebrain-api-clients

Added 1 June 2026

Overview

Provides Java client libraries for the GameBrain API, enabling developers to search and retrieve video game data across platforms. The clients abstract HTTP requests and responses for programmatic access to the game database.

Best for

Best for
Java developers needing quick integration with video game data.

Use cases

  • Searching for games by title or platform
  • Integrating game metadata into an app
  • Building a video game discovery tool

How to use

Tools exposed

  • npx

Example client config

{\n  "mcpServers": {\n    "gamebrain": {\n      "command": "npx",\n      "args": [\n        "-y",\n        "mcp-remote",\n        "https://api.gamebrain.co/v1/mcp?api-key=YOUR_KEY"\n      ]\n    }\n  }\n}

Notes

Provides Java client libraries for the GameBrain API, enabling developers to search and retrieve video game data across platforms. The clients abstract HTTP requests and responses for programmatic access to the game database.

3 stars on GitHub. Last updated 2025-12-01. Licensed Apache-2.0.

Use cases

  • Searching for games by title or platform
  • Integrating game metadata into an app
  • Building a video game discovery tool

Pros

  • Offers a pre-built Java client saving development time
  • Provides access to a large database of game information
  • Open source on GitHub allowing customization

Cons

  • Limited to Java language
  • Low community adoption (3 stars) may indicate limited maintenance or documentation
  • Dependency on the GameBrain API which may have its own rate limits or availability

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

Pros

  • Offers a pre-built Java client saving development time
  • Provides access to a large database of game information
  • Open source on GitHub allowing customization

Cons

  • Limited to Java language
  • Low community adoption (3 stars) may indicate limited maintenance or documentation
  • Dependency on the GameBrain API which may have its own rate limits or availability
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