メインコンテンツへスキップ

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Prerequisites

Before you can configure and use GitHub Copilot with Connect AI, you must do the following:
1
Connect a data source to your Connect AI account. See Sources for more information.
2
Install and enable GitHub Copilot in Visual Studio Code (or any IDE supporting GitHub Copilot).
3
Settings ページでPersonal Access Token（PAT）を生成します。PAT をコピーし、認証時にパスワードとして使用します。

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Create the Configuration File

  1. Create a folder named .vscode in your project repository. Within this folder, create a file named mcp.json and add the following configuration. Replace Basic <your_base64_encoded_email_PAT> with Basic and the Base64-encoded value of username:PAT (the PAT was generated in the prerequisites). 
    {
  "servers": {
      "cdata-mcp": {
      "type": "http",
      "url": "https://mcp.cloud.cdata.com/mcp",
      "headers": {
         "Authorization": "Basic <your_base64_encoded_email_PAT>"
     }
   }
  },
 "inputs": []
}

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Start the MCP Server

1
Click Start within your IDE to start the MCP server. If the MCP server starts without error, it displays Running.
2
Toggle Chat in the title bar to display the Chat pane on the right.
3
Click Add Context in the bottom of the Chat pane. In the search bar, select Tools. Then search for CData. Add cdata-mcp All Tools.

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Chat with GitHub Copilot

You can now chat with GitHub Copilot and issue contextual prompts. As a test, you can provide the MCP server with a simple prompt, such as a list of tables for a particular connection. GitHub Copilot uses the Connect AI tools such as getCatalogs, getSchemas, and getTables to retrieve data from the connected data source.