Lambda MCP Server
Lambda MCP Server allows developers to quickly create, deploy, and manage cloud-hosted MCP tools using AWS Lambda functions, supporting streaming HTTP communication for efficient real-time data exchange.
Added on:
Created by:
Apr 23 2025
Lambda MCP Server allows developers to quickly create, deploy, and manage cloud-hosted MCP tools using AWS Lambda functions, supporting streaming HTTP communication for efficient real-time data exchange.
Added on:
Created by:
Apr 23 2025
Mike Chambers
Featured
What is Lambda MCP Server?
This MCP implementation provides a serverless platform for creating and deploying MCP tools via AWS Lambda. It supports streaming HTTP protocol, enabling efficient real-time interactions between clients and MCP tools. The server includes session management with DynamoDB, basic bearer token authentication, and example tools like time retrieval, weather simulation, and S3 bucket counting. It simplifies the process of building stateless, scalable MCP services integrated with Amazon Bedrock and Nova Pro for advanced AI interactions, making it suitable for developers aiming to build intelligent, cloud-based MCP applications with minimal setup.
Who will use Lambda MCP Server?
- Developers creating MCP tools
- AWS cloud architects
- AI/ML engineers integrating with Bedrock
- Automation engineers deploying serverless applications
How to use the Lambda MCP Server?
- Step1: Clone the repository
- Step2: Deploy the server using AWS SAM
- Step3: Obtain the bearer token and configure the client
- Step4: Add new tools in `app.py` with decorator pattern
- Step5: Use the client to send requests to the MCP server
Lambda MCP Server's Core Features & Benefits
The Core Features
- Create MCP tools with decorator pattern
- Support streaming HTTP for real-time communication
- Session management with DynamoDB
- Bearer token authentication
- Example tools including time, weather, S3 bucket count
The Benefits
- Simplifies deployment of serverless MCP services
- Supports real-time, streaming interactions
- Persistent session management without external database
- Secure with token-based authentication
- Easy to extend with new tools
Lambda MCP Server's Main Use Cases & Applications
- Deploying custom MCP tools in AWS Lambda environment
- Building real-time AI agents using Amazon Bedrock and Nova Pro
- Monitoring and managing scalable MCP services
- Automating workflows with cloud-hosted MCP components
FAQs of Lambda MCP Server
Developer
- mikegc-aws
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