Build Vision Apps Faster with Roboflow MCP and Claude
Building a custom computer vision application and deploying it to process video can be a time-consuming process. From extracting frames and annotating data to training models and writing the deployment code, developers often spend hours manually executing repetitive tasks before they even see their first prediction.
You can now automate much of this heavy lifting by delegating tasks to a coding agent. AI assistants like Claude Code can now connect directly to your computer vision workspace using the newly released Roboflow Model Context Protocol (MCP) Server. This allows your AI assistant to act as a co-pilot, seamlessly interacting with Roboflow's tools to build and deploy your vision pipelines while you focus on high-level visual validation and judging results.
In this live session, Roboflow Engineer Tony França will demonstrate how to install and leverage the new MCP Server. Tony will walk through how to get started with your preferred AI coding agent and showcase a live, end-to-end demo of building a vision application. You will see exactly how an agent can help you jump from raw video files to a fully deployed custom computer vision model, writing the necessary code and configuring workflows along the way.
Every week we dive into the world of computer vision and explore new tools, interesting projects, and tutorials. This webinar is open to everyone, we hope to see you there!
We'll also make time at the end for open Q&A.