- DATA
- DETAILS
- ANALYSIS
- HUMAN
Short answer
How can I use AI to find the best games from previous years?
Your AI pulls the highest-rated titles directly from the OpenCritic Hall of Fame. You can then ask it to fetch specific metadata for those games to compare scores, genres, or release windows. This gives you a structured dataset for your analysis.
The research outcomes
Where your data lands
The AI handles the heavy lifting of finding and organizing the data.
DATA
Hall of Fame lists
The AI pulls the top-rated games from the OpenCritic Hall of Fame. You get a clean list of historical heavy hitters.
DETAILS
Deep game metadata
Your agent fetches specific details for any game found in the rankings. This includes everything needed for a granular comparison.
ANALYSIS
Trend identification
The AI looks for patterns in scores or genres across different years. You get the insights without manual searching.
HUMAN
Final report writing
You take the organized data and the AI's findings to write your final article or report. The AI provides the facts, but you provide the voice.
The workflow
What your AI does when the request arrives.
The AI moves from broad historical lists to specific game data in a few steps.
Identify top titles
The AI scans the OpenCritic Hall of Fame to find the highest-rated games from specific eras or categories.
get_hall_of_fameFetch game specifics
Once a game is identified, the AI pulls its specific metadata to provide context for your analysis.
get_game_detailsCompare datasets
The AI compares the retrieved scores and details to find outliers or trends in historical rankings.
get_hall_of_fameget_game_detailsStructure findings
The agent organizes the gathered information into a format ready for your review or export.
get_game_details
Try it
Copy these to start.
Use these prompts to kick off your research immediately.
Starting points
These are opening lines. Swap out the years or genres to match the specific era you are researching.
OpenCritic Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_e76N5wEKIzSXTt0T1q0DfhkaUBl4ZAcSjsEPp873/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — OpenCritic capabilities are ready to use.
{
"mcpServers": {
"opencritic-mcp": {
"url": "https://edge.vinkius.com/vk_preview_e76N5wEKIzSXTt0T1q0DfhkaUBl4ZAcSjsEPp873/mcp"
}
}
}List the highest rated games from the OpenCritic Hall of Fame from the year 2010.
Find the top rated games in the Hall of Fame and get the details for the top three.
Which games in the Hall of Fame are categorized as RPGs? Get their details.
Compare the scores of the top five games from the Hall of Fame released in 2015.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect OpenCritic once, then ask.
Click the link to connect the OpenCritic MCP to your AI client. Your credentials stay encrypted, and you can start querying immediately.
Connect OpenCritic to your AIFAQ
How this task behaves
- 01
Can the AI change the scores on OpenCritic?
No. The AI can only read data from the Hall of Fame and game details. It cannot modify any information on the website.
- 02
Can I use this to find games not in the Hall of Fame?
No. This specific workflow is limited to the games listed in the Hall of Fame and their specific details.
- 03
Does the AI write the final article for me?
The AI can draft outlines or organize data, but you are responsible for the final writing and publishing.
- 04
Can the AI delete my search history?
No. The AI only interacts with the OpenCritic data via the provided tools.
- 05
How does the AI get the game information?
It uses the get_hall_of_fame and get_game_details tools to pull information directly from the service.
More questions about OpenCritic? See everything the OpenCritic Connector can do
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