Connect Qencode to your AI Assistant for Seamless Video Processing

The Qencode MCP connector empowers your AI assistant to perform video transcoding and processing tasks using natural language commands, eliminating the need for complex raw API calls. This integration allows you to initiate jobs, monitor their status, and retrieve results directly through your chat or terminal interface.

Key Features:

• Natural Language Control: Interact with powerful video processing capabilities using simple, plain language.

• AI Assistant Integration: Connects with popular AI assistants like Claude, ChatGPT, Gemini, and Cursor.

• Simplified Workflow: Streamline your video processing tasks by removing the need for direct API interaction.

• Comprehensive Functionality: Supports a wide range of video transcoding, live streaming, content delivery, and video player functionalities.

• Extensive Format Support: Handles various input and output formats and codecs, including advanced options like AV1 and LCEVC.

• Advanced Features: Offers capabilities such as AI detection, smart cropping, auto-subtitles, DRM encryption, and forensic watermarking.

• Media Storage Integration: Seamlessly integrates with Qencode S3 and third-party storage solutions (AWS S3, GCP, Azure Blob, etc.).

Supported AI Assistants:

• Claude: Connect via the connectors menu in the message box or use Claude Code for terminal integration.

• ChatGPT: Integrate through the Apps directory or as a custom app in Developer Mode.

• Gemini: Configure the Qencode MCP server within your Gemini CLI settings.

• Cursor: Add the Qencode MCP server via Cursor's settings screen or by editing the mcp.json file.

Get started by signing up for a Qencode account and following the specific connection guide for your chosen AI assistant. For further assistance, refer to the Qencode Documentation or contact Qencode Support.