Mcp2lambda

🚀 MCP2Lambda Project Guide

MCP2Lambda is a tool for integrating the Model Control Protocol (MCP) into AWS Lambda functions. With this tool, AI models can directly call backend services or APIs to perform complex tasks.

🚀 Quick Start

MCP2Lambda enables the integration of the Model Control Protocol (MCP) with AWS Lambda functions, allowing AI models to access backend services and APIs for complex task execution.

✨ Features

Sample Lambda Functions

• CustomerIdFromEmail: Retrieve the customer ID based on an email address. Example usage:

getIdByEmail("user@example.com");

• CustomerInfoFromId: Get detailed information based on the customer ID. Example usage:

getCustomerInfo(customerId);

• RunPythonCode: Execute arbitrary Python code in the Lambda environment. Example usage:

executePython("print('Hello, World!')");

Advanced Features

• Amazon Bedrock Integration: MCP2Lambda supports integration with Amazon Bedrock's Converse API, enabling the use of various models provided by Bedrock through the MCP protocol.
• Claude Desktop Configuration: Add the following content to the configuration file:

{
  "mcpServers": {
    "mcp2lambda": {
      "command": "uv",
      "args": [
        "--directory",
        "<Full path to the mcp2lambda directory>",
        "run",
        "main.py"
      ]
    }
  }
}

📦 Installation

Quick Installation

Use the following command to quickly install MCP2Lambda:

uv npm install mcp2lambda --save

Manual Installation

1. Clone the repository:

git clone https://github.com/yourusername/mcp2lambda.git
cd mcp2lambda

2. Install dependencies:

npm install

📚 Documentation

AWS Credential Configuration

Ensure that your AWS credentials are correctly configured. You can do this using the following command:

aws configure

Sample Lambda Function Deployment

1. Navigate to the sample_functions directory:

cd sample_functions

2. Build and deploy the function:

sam build && sam deploy

Amazon Bedrock Integration

Install Dependencies

uv pip install -e .

Start the Client

python main.py

Starting the MCP Server

Run the following command in the terminal:

cd mcp2lambda
uv run main.py