Platforms
Integrations
cvPal works with any MCP-compatible client. Your connection endpoint and authentication token are available from the dashboard — choose your platform below for setup guidance.
Don't have your connection details yet?
Get them from your dashboard →
Cursor
AI-powered code editor with native MCP support. Configure the connection in Cursor's MCP settings using your personal endpoint.
Add your personal cvPal endpoint as a new MCP server.
Claude Desktop
Use cvPal tools natively inside Claude's desktop application by registering your personal endpoint in the MCP settings.
Add the endpoint URL and your bearer token in Claude's MCP server config.
Claude Code
Register cvPal as an MCP tool source in Claude Code with a single terminal command using your personal endpoint.
Replace with your endpoint from the dashboard, then run in your terminal.
Gemini CLI
Connect cvPal to Google's Gemini CLI and use computer vision tools alongside Gemini models.
Replace with your endpoint from the dashboard, then run in your terminal.
OpenAI SDK
Integrate cvPal tools into your Python applications using the OpenAI Responses API or Assistants API.
Refer to OpenAI's MCP guide for full setup instructions.
Codex CLI
Register cvPal as an MCP tool provider in OpenAI's Codex CLI using your credential endpoint.
Run in your terminal, then configure with your personal endpoint.
Codex Config
Add cvPal to your Codex TOML configuration file for persistent MCP access.
Replace with your endpoint and key, then add to config.toml.
VS Code
Use cvPal tools directly in Visual Studio Code with MCP support enabled.
Add your personal endpoint in VS Code's MCP configuration.