About
IGDB is a comprehensive video game database that provides access to detailed information about video games, including metadata, ratings, platforms, and media content. Key features include: - Search and discovery of video games with detailed metadata including titles, descriptions, and release dates - Platform availability, developer, and publisher information - Genre classifications, themes, and game modes - User ratings, hype metrics, and trending game tracking - Cover art and media assets - Advanced querying capabilities using the Apicalypse query language - Pre-built prompts for common queries like finding similar games or discovering upcoming releases
README
IGDB MCP Server
Access the IGDB (Internet Game Database) API through Model Context Protocol (MCP)
[](https://smithery.ai/server/@bielacki/igdb-mcp-server) [](https://www.python.org/downloads/) [](https://modelcontextprotocol.io) [](https://github.com/jlowin/fastmcp) [](https://github.com/astral-sh/uv) [](https://opensource.org/licenses/MIT) [](https://api-docs.igdb.com)
Overview
The IGDB MCP Server provides seamless access to the Internet Game Database (IGDB) through the Model Context Protocol. IGDB is a comprehensive database containing information about video games, including:
Key Features
Quick Start
Get IGDB Credentials
1. Create a Twitch account (if you don't have one) 2. Go to Twitch Developer Console → Register Your Application 3. Get your Client ID and generate a Client Secret📖 Full IGDB authentication guide
Option A: install via Smithery
To install igdb-mcp-server automatically via Smithery:
npx -y @smithery/cli install @bielacki/igdb-mcp-server
Option B: install with uvx
Install uv.
Add this to your MCP client's configuration:
{
"mcpServers": {
"igdb-mcp": {
"command": "uvx",
"args": ["--from", "git+https://github.com/bielacki/igdb-mcp-server.git", "igdb-mcp-server"],
"env": {
"IGDB_CLIENT_ID": "your_client_id",
"IGDB_CLIENT_SECRET": "your_secret"
}
}
}
}
Start Exploring
Start exploring with these example prompts:
🔍 Search & Discovery
📊 Game Information
🔥 Trending & Popular
🎯 Advanced Queries
Core Components
Tools
| Tool | Description | Parameters | Example Usage |
|------|-------------|------------|---------------|
| search_games | Search for games by name | • query (required): Search term• fields: Fields to return (default: basic info)• limit: Results count (1-500, default: 10) | "Search for Elden Ring games" |
| get_game_details | Get comprehensive game information | • game_id (required): IGDB game ID• fields: Fields to return (default: extensive) | "Get details for game ID 1942" |
| get_most_anticipated_games | Find upcoming games by hype | • fields: Fields to return• limit: Results count (1-500, default: 25)• min_hypes: Min hype count (default: 25) | "Show most anticipated games" |
| custom_query | Execute Apicalypse queries | • endpoint (required): API endpoint• query (required): Apicalypse query string | "Find RPGs rated above 90" |
Resources
| Resource | Description | Returns | |----------|-------------|---------| | igdb://endpoints | List of all IGDB API endpoints | Available endpoints with descriptions | | igdb://query-syntax | Apicalypse query language guide | Syntax reference and examples |
Pre-built Prompts
| Prompt | Description | Use Case | |--------|-------------|----------| | search_game | Formatted game search results | Quick game discovery with clean output | | game_details | Comprehensive game information | Full details including ratings, platforms, developers | | most_anticipated | Trending upcoming games | Discover hyped unreleased games with statistics |
Troubleshooting
###
Related MCP Servers
AI Research Assistant
hamid-vakilzadeh
AI Research Assistant provides comprehensive access to millions of academic papers through the Semantic Scholar and arXiv databases. This MCP server enables AI coding assistants to perform intelligent literature searches, citation network analysis, and paper content extraction without requiring an API key. Key features include: - Advanced paper search with multi-filter support by year ranges, citation thresholds, field of study, and publication type - Title matching with confidence scoring for finding specific papers - Batch operations supporting up to 500 papers per request - Citation analysis and network exploration for understanding research relationships - Full-text PDF extraction from arXiv and Wiley open-access content (Wiley TDM token required for institutional access) - Rate limits of 100 requests per 5 minutes with options to request higher limits through Semantic Scholar
Linkup
LinkupPlatform
Linkup is a real-time web search and content extraction service that enables AI assistants to search the web and retrieve information from trusted sources. It provides source-backed answers with citations, making it ideal for fact-checking, news gathering, and research tasks. Key features of Linkup: - Real-time web search using natural language queries to find current information, news, and data - Page fetching to extract and read content from any webpage URL - Search depth modes: Standard for direct-answer queries and Deep for complex research across multiple sources - Source-backed results with citations and context from relevant, trustworthy websites - JavaScript rendering support for accessing dynamic content on JavaScript-heavy pages
Math-MCP
EthanHenrickson
Math-MCP is a computation server that enables Large Language Models (LLMs) to perform accurate numerical calculations through the Model Context Protocol. It provides precise mathematical operations via a simple API to overcome LLM limitations in arithmetic and statistical reasoning. Key features of Math-MCP: - Basic arithmetic operations: addition, subtraction, multiplication, division, modulo, and bulk summation - Statistical analysis functions: mean, median, mode, minimum, and maximum calculations - Rounding utilities: floor, ceiling, and nearest integer rounding - Trigonometric functions: sine, cosine, tangent, and their inverses with degrees and radians conversion support