This tutorial details how to deploy a Python-based Model Context Protocol (MCP) server, built with FastMCP, onto Amazon Elastic Kubernetes Service (EKS). The process involves building a Docker image, pushing it to Amazon Elastic Container Registry (ECR), and then provisioning an EKS cluster. Finally, the MCP server is deployed to the cluster, exposed via a Kubernetes LoadBalancer Service, and connected to Claude Code for remote tool access. AI
IMPACT Enables developers to host AI model communication protocols remotely, facilitating more complex integrations and tool usage.
RANK_REASON Tutorial on deploying a specific tool/framework (FastMCP) to a cloud platform (AWS EKS) for integration with another tool (Claude Code).
- Amazon EKS
- Amazon ECR
- AWS
- AWS Command Line Interface
- Buildx
- Claude Code
- Docker
- eksctl
- FastMCP
- kubectl
- Kubernetes
- MCP
- pydantic
- Python
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