文章摘要
A guide details setting up a local Model Context Protocol (MCP) server using Docker specifically for the Claude-3 AI model. This protocol addresses the limitations of fixed prompt lengths by enabling Claude-3 to dynamically pull content on-demand from a locally hosted server. The setup process involves using Docker to create the necessary environment, configuring the server via a `config.yaml` file to define parameters and port mappings, and orchestrating the services with a `docker-compose.yaml`. Once the server is operational, it can generate special MCP Links, allowing Claude-3 to retrieve and integrate large external resources into its context. This method significantly enhances Claude's ability to process and interact with extensive local datasets and documentation.