opencritic-mcp

opencritic-mcp

Enables AI assistants to search for games and retrieve aggregated critic scores, review tiers, and individual reviews from OpenCritic. Provides tools for game search, score retrieval, and review lookup via the OpenCritic API.

Category
Visit Server

README

opencritic-mcp

An MCP (Model Context Protocol) server that gives AI assistants access to OpenCritic game review scores via the official OpenCritic API on RapidAPI.

Search for games and retrieve aggregated critic scores, review tiers, and individual reviews — all without scraping. For full API endpoints and response specs, see the OpenCritic API Documentation.


Tools

Tool Parameters Description
search_game query (string) Search by game title — returns up to 10 matches with IDs
get_game id (number), platform? (string) Get critic score, % recommended, tier, developer, publisher, platforms, genres, loot boxes, and box art. Filter by platform (e.g. 'PC', 'PS5', 'Xbox').
get_game_reviews id (number), platform? (string), limit? (number) Get individual critic reviews (outlet, score, author, language, platform tags, excerpt, link). Filter by platform.

Prerequisites

  • Node.js v18 or later
  • A free RapidAPI key for the OpenCritic API

Getting a RapidAPI key

  1. Go to rapidapi.com/opencritic/api/opencritic-api
  2. Sign up or log in (free)
  3. Subscribe to the Basic plan (free tier: 200 requests/day, 25 searches/day)
  4. Copy your X-RapidAPI-Key from the dashboard

Your key is only ever used locally. It is read from an environment variable at runtime and never stored in the package.


Installation

Option A — npx (no install required)

{
  "mcpServers": {
    "opencritic": {
      "command": "npx",
      "args": ["-y", "opencritic-mcp"],
      "env": {
        "RAPIDAPI_KEY": "your_rapidapi_key_here"
      }
    }
  }
}

Option B — Clone and build locally

git clone https://github.com/brandikun/opencritic-mcp.git
cd opencritic-mcp
npm install
npm run build

Then add to your MCP config:

{
  "mcpServers": {
    "opencritic": {
      "command": "node",
      "args": ["/absolute/path/to/opencritic-mcp/dist/index.js"],
      "env": {
        "RAPIDAPI_KEY": "your_rapidapi_key_here"
      }
    }
  }
}

MCP Client Config Locations

Client Config file
Antigravity / AGY ~/.gemini/antigravity-cli/settings.json
Claude Desktop ~/Library/Application Support/Claude/claude_desktop_config.json (macOS)
Claude Desktop (Windows) %APPDATA%\Claude\claude_desktop_config.json

Example usage

Once connected, you can ask your AI assistant things like:

  • "Search for Hollow Knight on OpenCritic"
  • "What's the critic score for Disco Elysium?"
  • "Show me the top critic reviews for Elden Ring"
  • "Cross-reference my Steam library with OpenCritic scores" (when paired with a Steam MCP)

Security notes

  • Your RAPIDAPI_KEY is passed via environment variable — it never appears in source code or gets committed to git
  • The server uses only Node's built-in fetch and the official MCP SDK — no third-party HTTP clients
  • If RAPIDAPI_KEY is missing, the server exits immediately with a clear error message

Free tier limits & Caching

Limit Value
Requests per day 200
Searches per day 25
Requests per second 4

Built-in Caching: To protect your daily RapidAPI quota, responses are cached in memory for 1 hour. Repeated detail or review queries cost 0 API requests.


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