Lambda MCP Server is a serverless implementation of a Model Context Protocol (MCP) tool server using AWS Lambda. It supports streaming HTTP, session state management, and integrates with Amazon Bedrock and Nova Pro to build intelligent agents. The project demonstrates how to create stateless, serverless MCP servers with minimal boilerplate and excellent developer experience. It includes built-in session state management that persists across tool invocations within the same conversation, storing session data in DynamoDB. The server supports Bearer token authentication compliant with MCP standards, with a simple custom authorizer for API Gateway, and can be extended for production security needs. The project provides example tools like getting weather, counting S3 buckets, and getting current time, showcasing different use cases. It requires AWS account, AWS SAM CLI, and access to Amazon Bedrock and Nova Pro. The repository serves as sample code, while the maintained module is hosted at awslabs/mcp-lambda-handler. The server is designed to work with clients supporting Streamable HTTP, such as MCP Inspector and Strands Agents client included in the repo. The project is a proof-of-concept for running MCP servers on AWS Lambda, enabling easy deployment of cloud-hosted MCP tools with session management and secure access.
https://github.com/mikegc-aws/Lambda-MCP-Server
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