Why Your MCP Client Needs a Sandbox
AI Summary
This video explains the container use MCP server developed by Solomon and Andrea from Dagger to enable isolated, parallel workflows for coding agents. It addresses the challenge of background work for multiple agents by providing sandboxed environments where each agent can work independently without conflicts. The demonstration shows Goose creating and running a Flask app in containerized environments, enabling isolation so that the local project files remain unchanged until changes are explicitly merged. The video highlights the value of MCP (Model Context Protocol) as a standard that makes compatibility across clients possible, allowing seamless integration and efficient parallel development. The speakers emphasize that MCP is young but meaningful, enabling unique features like detaching containerized agent environments from core agents. The project is open source and encourages community feedback and participation, especially for those interested in parallel work with coding agents.