Anthropic recently unveiled the Model Context Protocol (MCP), a new standard for connecting AI assistants and models to reliable data and tools. However, packaging and distributing MCP servers is very challenging due to complex environment setups across multiple architectures and operating systems. Docker is the perfect solution for this — it allows developers to encapsulate their development environment into containers, ensuring consistency across all team members’ machines and deployments consistent and predictable. In this blog post, we provide a few examples of using Docker to containerize Model Context Protocol (MCP) to simplify building AI applications.
mcp-crash-course/Dockerfile at main · emarco177/mcp-crash-course · GitHub
No comments:
Post a Comment