$ loading_
Deploy and manage MCP servers on AWS with a serverless framework.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Serverless MCP Framework" yet — see the docs or source repo.
Using Serverless MCP Framework, design a plan to deploy an MCP server on AWS with Lambda, API Gateway, and EventBridge, and explain the core components and deployment steps.
A clear deployment plan with architecture overview, required AWS services, and implementation steps.
Explain how to use Serverless MCP Framework to dynamically manage MCP tools, prompts, and resources with SSM parameters and Lambda functions, and provide example configurations.
A dynamic configuration guide including parameter management, Lambda responsibilities, and sample configurations.
Create an operations plan for an MCP service built with Serverless MCP Framework, covering monitoring, logging, access control, cost optimization, and scaling strategies.
A best-practice operations checklist to help teams run and scale MCP services reliably.
Deploy backend, frontend, or fullstack web apps to AWS serverless infrastructure.
Deploy stateless MCP servers on AWS with CDK and bearer auth.
Create and manage AWS infrastructure resources through an MCP server.
Deploy a stateless Python MCP server on AWS Lambda for basic tool calls.
Connect MCP clients to AWS Lambda so AI can invoke functions without code changes.
Build production-ready MCP servers on AWS Lambda and ECS Fargate.