@aws-samples
基本情報
Sample implementations of AI Agents and MCP Servers running on AWS Serverless compute
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Sample Serverless MCP Servers is a repository containing a collection of sample implementations of MCP (Model Context Protocol) servers running on AWS serverless infrastructure. It includes examples for both stateless and stateful MCP servers, deployed on AWS Lambda and Amazon ECS, with Infrastructure as Code (IaC) templates in Terraform, CDK, and SAM. The samples target developers building AI agents or tools that integrate with the MCP protocol.
Clone the repository, navigate to the directory of the desired sample, and follow the deployment instructions and configuration steps provided in that directory’s own documentation.
Stateful MCP servers maintain session context in memory and support long-lived SSE connections, requiring session affinity for scaling. Stateless MCP servers do not keep session context between requests, enabling seamless horizontal scaling without sticky sessions.
The samples are implemented in Node.js or Python. Infrastructure is deployed using Terraform, AWS CDK, or AWS SAM, with each sample’s directory specifying which tools are used.
The servers run on AWS services: AWS Lambda with API Gateway for stateless examples, and Amazon ECS with Application Load Balancer for both stateless and stateful examples.
As of early May 2025, official MCP SDKs do not support external session persistence (e.g., Redis or DynamoDB), making it difficult to scale stateful servers horizontally without sticky sessions. The TypeScript MCP Client SDK relies on the `fetch` API, which doesn’t natively support cookies.
Refer to the directory’s own README for detailed installation, configuration, and deployment steps. Each sample folder contains separate instructions.
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