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saha-rajdeep/remote-mcp-server

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Create Remote MCP Server on Kubernetes (Amazon EKS)

概览

A containerized MCP (Model Context Protocol) server using FastMCP that provides a simple calculator tool for adding two numbers. This MCP server runs on Amazon EKS. The highlevel diagram of this project below: - server.py - FastMCP server with add_numbers tool - requirements.txt - Python dependencies - Dockerfile - Container definition - k8s-deployment.yaml - Kubernetes deployment and LoadBalancer service - test_mcp_client.py - Test Remote MCP Server The server will be available at http://localhost:8000 You can push this image to either Dockerhub or an ECR repo - AWS CLI configured with appropriate permissions - kubectl installed - Docker installed and running You can use an existing EKS cluster or create a new one, it's upto you. Ensure that your terminal has access to run Kubectl on it IMPORTANT: Change the container image to the repo URI in k8s-deployment.yaml file The server provides one tool: - add_numbers(a: float, b: float) -> float - Adds two numbers together

README

以下为原文 README 节选,完整内容请查看原文。

Remote MCP Server on Kubernetes (Amazon EKS)

A containerized MCP (Model Context Protocol) server using FastMCP that provides a simple calculator tool for adding two numbers. This MCP server runs on Amazon EKS. The highlevel diagram of this project below:

Detailed walkthrough video

Files

  • server.py - FastMCP server with add_numbers tool
  • requirements.txt - Python dependencies
  • Dockerfile - Container definition
  • k8s-deployment.yaml - Kubernetes deployment and LoadBalancer service
  • test_mcp_client.py - Test Remote MCP Server

Building the Container

docker build -t mcp-calculator:latest .

Running Locally

# Run the container locally
docker run -p 8000:8000 mcp-calculator:latest

The server will be available at http://localhost:8000

Push to repo

You can push this image to either Dockerhub or an ECR repo

Deploying to Amazon EKS

Prerequisites

  • AWS CLI configured with appropriate permissions
  • kubectl installed
  • Docker installed and running

EKS Cluster

You can use an existing EKS cluster or create a new one, it’s upto you. Ensure that your terminal has access to run Kubectl on it

Deployment Steps

IMPORTANT: Change the container image to the repo URI in k8s-deployment.yaml file

  1. Deploy MCP Server container to EKS:
# Deploy the application
kubectl apply -f k8s-deployment.yaml

# Check deployment status
kubectl rollout status deployment/mcp-calculator

# Get service information
kubectl get services mcp-calculator-service
  1. Get the LoadBalancer external IP:
kubectl get services mcp-calculator-service -w

Testing the MCP Server

The server provides one tool:

  • add_numbers(a: float, b: float) -> float - Adds two numbers together

Testing with curl

The MCP server is currently deployed and accessible at:

http:///mcp/

Complete curl Test Workflow

Step 1: Initialize MCP Session and Get Session ID

SESSION_ID=$(curl -s -X POST \
  -H "Content-Type: application/json" \
  -H "Accept: application/json, text/event-stream" \
  -d '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2024-11-05","capabilities":{"roots":{"listChanged":true},"sampling":{}},"clientInfo":{"name":"curl-test","version":"1.0.0"}}}' \
  http:///mcp/ \
  -D /dev/stderr 2>&1 | grep "mcp-session-id:" | cut -d' ' -f2 | tr -d '\r')

echo "Session ID: $SESSION_ID"

Step 2: Send Initialization Notification (Required by MCP Protocol)

curl -s -X POST \
  -H "Content-Type: application/json" \
  -H "Accept: application/json, text/event-stream" \
  -H "mcp-session-id: $SESSION_ID" \
  -d '{"jsonrpc":"2.0","method":"notifications/initialized"}' \
  http:///mcp/

Step 3: List Available Tools (Optional)

curl -X POST \
在 GitHub 查看完整 README

安装

docker run -p 8000:8000 mcp-calculator:latest
新手?先看 mcpskill.org 教程 →