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QVeris AI

QVeris AI

Qveris AI

|
70 installs
| (0) | Free
The official extension of QVeris AI can assist you in searching and executing the AI tools you need from a vast array of options. You don't need to provide an ApiKey or pay for each tool individually, as Qveris AI handles all of this for you.
Installation
Launch VS Code Quick Open (Ctrl+P), paste the following command, and press enter.
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QVeris AI VS Code/Cursor/Trae/Kiro/Codebuddy/Lingma/Qoder Extension

Official extension for QVeris.ai. Sign in once, get your API key securely stored, auto-install the QVeris MCP SDK, and use QVeris AI tools directly in your AI chat.

About QVeris

QVeris is an intelligent tool platform for developers, providing MCP servers with rich tool search/execution capabilities, helping you complete information queries, automation operations, and workflow orchestration within your editor.

What the Extension Does

  • Sidebar Login: Securely sign in with your browser to manage your QVeris account.
  • Auto Get/Create API Key: After successful login, the API key is securely saved in VS Code Secrets.
  • Auto Write MCP Config: Automatically configures the QVeris MCP server in your IDE (Cursor, Trae, Kiro, etc.), so the AI can use Qveris tools.
  • IDE Rules Integration: Automatically sets up workspace rules (like .cursor/rules/qveris.mdc) to guide the AI on how to use QVeris tools effectively.

Quick Start

  1. Sign In: Open the QVeris AI sidebar and click Sign in with Browser.
  2. Open Chat: Open your AI chat (e.g., ⌘L or Ctrl+L in Cursor).
  3. Ask & Execute: Describe what you need, and the AI will use QVeris tools to help you. For example: "Search for a tool that can get stock prices" or "Use QVeris to get real-time crypto prices".
  4. Reference Rules: The extension auto-creates rules (like @qveris.mdc). Reference them in your prompt for better tool calling performance.

Requirements

  • VS Code 1.85+, Cursor, Trae, Kiro, Codebuddy, Lingma or Qoder
  • Node.js 18+
  • A QVeris.ai account

How to Use

  1. Install the extension.
  2. Open the QVeris AI sidebar.
  3. Click Sign in with Browser. After successful authentication, the extension will:
    • Securely store your API Key.
    • Configure the QVeris MCP server in your IDE.
    • Install workspace rules to guide the AI.
  4. Start chatting with your AI and let it know you want to use QVeris tools!

MCP Configuration Example (Auto-written)

The extension will write/update MCP configuration files based on your IDE. For Cursor, Kiro, Codebuddy, Lingma, Qoder, and Trae, it uses the mcpServers key. For VS Code, it uses the servers key.

Example configuration (Cursor/Kiro/Codebuddy/Lingma/Qoder/Trae format):

{
  "mcpServers": {
    "qveris": {
      "command": "npx",
      "args": ["@qverisai/mcp"],
      "env": {
        "QVERIS_API_KEY": "<your-api-key>"
      }
    }
  }
}

Configuration (Optional)

  • qverisAi.backendUrl: API base URL, default https://qveris.ai
  • qverisAi.apiKeyName: Name prefix when creating new Key, default vscode
  • qverisAi.cursorRulesPath: Cursor rules file path, default .cursor/rules/qveris.mdc
  • qverisAi.cursorUserRule: Prompt text written to rules file

Commands

  • QVeris AI: Sign in with Browser
  • QVeris AI: Open qveris.ai
  • QVeris AI: Copy API Key
  • QVeris AI: Refresh Login/API Key
  • QVeris AI: Copy Cursor Workspace Rule
  • QVeris AI: Open Cursor Workspace Rule Text
  • QVeris AI: Show Debug Logs

Support

  • Website: https://qveris.ai
  • Issues: https://github.com/QverisAI/vscode-qveris-ai/issues

Version Updates

When you update to a new version of the extension:

  • Rule files are automatically updated to ensure you have the latest QVeris AI prompts and configurations
  • Your API key remains secure and unchanged
  • MCP configuration is preserved

For more details, see CHANGELOG.md

License

MIT (see LICENSE)

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