How to Use the GiantBomb MCP in VS Code Copilot

Equip your team with the GiantBomb MCP Server in VS Code Copilot for live API testing and data modeling.

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Connect GiantBomb MCP to VS Code Copilot

Create your Vinkius account to connect GiantBomb to VS Code Copilot and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup GiantBomb with VS Code Copilot

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Share GiantBomb Tools Across Your Team

The `list_companies` and `list_platforms` tools become available to every developer on your team when you commit the .vscode/mcp.json file. Your entire organization gets immediate access to the same video game database queries without individual setup steps. This standardizes how your team tests gaming-related features. Anyone can ask Copilot to pull a list of hardware platforms, and the agent executes the identical query with the same parameters.

Retrieve Specific Records via MCP Server

The `get_character` and `get_game` tools isolate exact records from the database using unique identifiers. When a developer needs to inspect the data structure of a specific entity, the agent hits the API and drops the raw JSON right in the chat. You don't have to guess what fields exist. The AI reads the actual response payload and uses it to generate accurate TypeScript interfaces or database schemas for your current project.

Narrow Down Game Data Programmatically

The `list_games` tool applies specific filters to narrow down results from the massive catalog. Tell Copilot you need titles released in a specific year, and it configures the request parameters to fetch that exact subset. Developers use this to populate test environments quickly. Instead of manually copying data from a browser, the agent pulls a filtered batch of records and formats them into your seed scripts.

Setup guide

Set up GiantBomb MCP in VS Code Copilot

Prerequisites

VS Code 1.99 or later with GitHub Copilot extension
Active Vinkius subscription with a valid endpoint token

1

Open MCP configuration

Open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and run "MCP: Add Server". Select HTTP (Streamable) as the server type. VS Code will create .vscode/mcp.json in your workspace.
2

Add the GiantBomb MCP

Paste the JSON snippet shown on the right into your .vscode/mcp.json. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Switch to Agent mode

Open Copilot Chat (Cmd+Shift+I / Ctrl+Shift+I) and switch to Agent mode using the dropdown. MCP tools are only available in Agent mode — they do not appear in Edit or Ask modes.
4

Verify the connection

In the Copilot Chat input, type # to list available tools. You should see the GiantBomb tools listed. Try asking: "List my recent GiantBomb transactions" and Copilot will invoke them automatically.

.vscode/mcp.json

{
  "mcpServers": {
    "giantbomb-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by GiantBomb. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about GiantBomb MCP in VS Code Copilot

Open the Command Palette and select MCP: Open User Configuration to add the server details globally. You can also define it in a workspace-specific .vscode/mcp.json file.

Yes, committing the configuration file to your repository grants the entire team access. Every developer using Copilot in that workspace can query the database tools immediately.

Your agent can search across resources, get specific game details, or list characters and platforms. It handles the API communication and returns the data directly in your chat window.

The list tools allow the agent to apply query parameters to narrow down results. You just specify your criteria in plain English, and the AI constructs the proper API call.

The integration only processes gaming metadata like release dates, character profiles, and developer names. Vinkius manages the connection via ephemeral sandboxes, guaranteeing that no internal session data persists after the API returns the result.

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