Lambda MCP Server Buildit

🚀 Lambda MCP Server

A Model Context Protocol (MCP) server for deploying and managing AWS Lambda functions.

🚀 Quick Start

The Lambda MCP Server is designed to streamline the deployment and management of AWS Lambda functions. It offers a range of features to simplify the process, from deploying functions to listing existing ones.

✨ Features

• Deploy Lambda functions via the MCP interface.
• List existing Lambda functions.
• Provide a guided deployment wizard.
• Offer type-safe configuration validation.
• Integrate with AWS Lambda.

📦 Installation

Prerequisites

• Node.js (v16 or higher)
• An AWS account with appropriate permissions
• Configured AWS CLI and credentials

Installation Steps

npm install

📚 Configuration

Create a .env file in the root directory:

AWS_REGION=us-east-1

💻 Usage Examples

Development Mode

npm run dev

Production Mode

npm run build
npm start

MCP Tools

Deploy a Lambda Function

// Example deployment configuration
const config = {
  functionName: "my-function",
  runtime: "nodejs18.x",
  handler: "index.handler",
  memorySize: 128,
  timeout: 30,
  roleArn: "arn:aws:iam::123456789012:role/lambda-role",
  environment: {
    NODE_ENV: "production"
  }
};

// Base64-encoded zip file containing the function code
const code = "base64-encoded-zip-file";

// Use the MCP tool for deployment
const result = await client.callTool("deploy", { config, code });

List Functions

// List all Lambda functions
const result = await client.callTool("listFunctions", {});

Guided Deployment

// Start the guided deployment process
const prompt = await client.getPrompt("guidedDeploy", {
  functionName: "my-function",
  runtime: "nodejs18.x"
});

🔧 Technical Details

Protocol Interfaces

The MCP tools implemented by the server include:

• deploy: Deploy a new Lambda function.
• listFunctions: List all Lambda functions.
• guidedDeploy: Interactive deployment guidance.

Security Considerations

• Always use HTTPS in a production environment.
• Implement appropriate authentication and authorization.
• Rotate AWS credentials regularly.
• Store sensitive information using environment variables.
• Implement proper error handling and logging.

📄 License

This project is licensed under the MIT License.