A three-step solution for rapid deployment of MCP servers
To realize the interaction of AI models with tools like GitHub/Notion, you can follow the steps below:
- Environmental Preparation:Install the Docker environment (Docker Desktop is recommended for Windows/macOS users) via the
docker --versionVerify Installation - Mirror Image Acquisition:interviewsProject WarehouseFind the desired server (e.g., github-mcp-server), execute the
docker pull ghcr.io/metorial/github-mcp-server:latest - Run the configuration:Add parameters based on the type of service, e.g. GitHub servers require a PAT token:
docker run -i --rm -e GITHUB_PERSONAL_ACCESS_TOKEN=your_token ghcr.io/metorial/github-mcp-server:latest
Enhancement programs: through-pThe parameter maps the port (e.g.-p 3000:8080), or usedocker-compose.ymlManage multi-container deployments.
This answer comes from the articleMCP Containers: Hundreds of MCP Containerized Deployments Based on DockerThe
May not be reproduced without permission:AI productivity tools " How to quickly deploy multiple MCP servers in a development environment to enable interaction of AI models with external tools?
