Lambda MCP Server
This project demonstrates a serverless MCP (Model Context Protocol) tool implementation based on AWS Lambda, including a Python server - side and a TypeScript client, supporting streaming HTTP communication. The server - side simplifies the MCP tool development process, has built - in session state management, and demonstrates integration with Amazon Bedrock.
rating : 2.5 points
downloads : 5.8K
What is Lambda MCP Server?
Lambda MCP Server is a serverless implementation running on AWS Lambda, allowing developers to easily create and deploy tools compliant with the MCP protocol. It is particularly suitable for scenarios where rapid development and deployment of AI tools are required.How to use Lambda MCP Server?
Developers only need to define tool functions with simple Python decorators, and Lambda MCP Server will automatically handle complex issues such as protocol compatibility, request parsing, and response formatting.Use cases
Suitable for scenarios where rapid construction and deployment of AI tools are required, especially when you want the tools to seamlessly integrate with AI services such as Amazon Bedrock.Main features
Minimal development
Create fully functional MCP tools with just a few lines of code, greatly reducing boilerplate code.
Session state management
Built - in session state management for cross - tool calls, automatically persisted to DynamoDB.
Streamable HTTP support
Supports streaming HTTP communication, suitable for handling long - running tasks or large responses.
Amazon Bedrock integration
Built - in integration capabilities with Amazon Bedrock and Nova Pro, easily build intelligent agents.
Advantages
Serverless architecture, auto - scaling, no need to manage infrastructure
Extremely low development threshold, new tools can be deployed in minutes
Built - in session management, simplifies state persistence implementation
Deep integration with the AWS ecosystem, especially Bedrock AI services
Limitations
Currently, there are few clients supporting Streamable HTTP
Lambda execution time limits may affect long - running tasks
Requires an AWS account and basic cloud service knowledge
How to use
Prepare an AWS account
Ensure you have an AWS account and have configured appropriate permissions.
Install SAM CLI
Install the AWS Serverless Application Model command - line tool.
Deploy the server
Use SAM CLI to build and deploy the server application.
Create a tool
Add your tool function in app.py.
Usage examples
Simple greeting tool
Create a simple tool that returns a fixed greeting.
Session counter
Create a counter tool that maintains state across calls.
AWS resource query
Query the number of S3 buckets in an AWS account.
Frequently Asked Questions
What is MCP?
Why choose Lambda to implement the MCP server?
How to protect my MCP server?
Which clients are supported?
Related resources
Official MCP protocol documentation
The official GitHub repository of the Model Context Protocol
TypeScript MCP SDK
The official TypeScript SDK supporting Streamable HTTP
the_context video explanation
Function demonstration and discussion of Lambda MCP Server
AWS SAM documentation
Official documentation of the AWS Serverless Application Model

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