• CONSENSUS
  • SENTIMENT
  • AUDIT
  • HUMAN

How to analyze video game reviews with your AI

Connect OpenCritic to your AI client to turn raw critic data into structured sentiment reports.

Ask AI about this page

Short answer

How can I use my AI to analyze video game reviews?

Your AI uses OpenCritic to find specific games, pull reviews from specific critics, and aggregate scores. You'll get a clear picture of the consensus and specific praise or complaints without manual searching. This breakdown shows you how to build that analysis.

Analysis outcomes

What you get from the data

The AI pulls specific data points from OpenCritic to build your report.

CONSENSUS

Score aggregation

The AI pulls scores from multiple critics to find the average or median. You get a mathematical view of how the game is performing.

SENTIMENT

Review snippets

Your agent extracts specific text from reviews. This highlights the exact reasons why critics liked or hated a title.

AUDIT

Critic profiling

You can look at specific reviewers to see if their tastes align with the general consensus. This helps you weight certain opinions more heavily.

HUMAN

Final judgment

The AI provides the data, but you decide if the consensus is actually meaningful for your specific needs. You interpret the nuance the data provides.

The workflow

What your AI does when the request arrives.

The AI moves from finding the game to extracting the specific opinions you need.

  1. Locate the title

    The AI finds the exact game entry in the OpenCritic database to ensure the data is accurate.

    search_games

  2. Fetch review data

    Once the game is identified, the AI pulls the full list of critic scores and written reviews.

    get_game_reviews

  3. Filter by critic

    If you want to see how a specific publication reacted, the AI identifies and pulls those specific entries.

    list_criticsget_game_reviews

  4. Synthesize findings

    The AI processes the gathered scores and text to summarize the general mood of the critics.

    get_game_reviews

Try it

Copy these to start.

Use these prompts to kick off your analysis.

Starting points

Swap the game titles and critic names with the ones you actually want to research.

OpenCritic Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_e76N5wEKIzSXTt0T1q0DfhkaUBl4ZAcSjsEPp873/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — OpenCritic capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "opencritic-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_e76N5wEKIzSXTt0T1q0DfhkaUBl4ZAcSjsEPp873/mcp"
    }
  }
}
Copy into chat04

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Start here

Connect OpenCritic once, then ask.

One click connects this MCP to your client. Your login stays encrypted, and you can start asking questions immediately.

Connect OpenCritic to your AI

FAQ

How this task behaves.

  • 01

    Can the AI write new reviews?

    No. The AI only reads and summarizes existing reviews from OpenCritic.

  • 02

    Can the AI change a critic's score?

    No. The AI has read-only access to the OpenCritic data.

  • 03

    Does it work with any game?

    It works with any game currently listed in the OpenCritic database.

  • 04

    Can I ask for reviews from a specific website?

    Yes, you can use the tools to find specific critics and pull their individual reviews.

  • 05

    Will the AI tell me if a game is worth buying?

    The AI provides the consensus and the reasoning from critics, but the final purchasing decision is yours.

  • More questions about OpenCritic? See everything the OpenCritic Connector can do

Connect OpenCritic to Claude, Cursor, ChatGPT & more