Vibecoding Our First MCP Server
📰 Dev.to · Davide de Paolis
Learn how to build and deploy a proof-of-concept MCP server by wrapping an internal API, containerizing with Docker, and deploying to AWS AgentCore Runtime
Action Steps
- Wrap an internal API with a proof-of-concept MCP server using stdio
- Evolve the MCP server to use HTTP for communication
- Containerize the MCP server using Docker
- Deploy the containerized MCP server to AWS AgentCore Runtime
- Test and iterate on the deployment to ensure smooth operation
Who Needs to Know This
This tutorial is beneficial for backend engineers, DevOps engineers, and cloud architects who want to learn about building and deploying microservices-based applications
Key Insight
💡 Containerizing and deploying microservices-based applications to cloud platforms can simplify scalability and management
Share This
🚀 Build & deploy a proof-of-concept MCP server with Docker & AWS AgentCore Runtime
Key Takeaways
Learn how to build and deploy a proof-of-concept MCP server by wrapping an internal API, containerizing with Docker, and deploying to AWS AgentCore Runtime
Full Article
How three engineers built a proof-of-concept MCP server wrapping an internal API - starting with stdio, evolving to HTTP, containerizing with Docker, and deploying to AWS AgentCore Runtime. Messy, honest, and full of learnings.
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