actvalue.lambda-mcp-server 2.0.0

A Lambda-based MCP (Model Context Protocol) server implementation

ActValue Lambda MCP Server

A Python library for creating MCP (Model Context Protocol) servers that run on AWS Lambda.

Installation

pip install actvalue.lambda-mcp-server

Quick Start

from lambda_mcp import LambdaMCPServer

# Create a server instance
server = LambdaMCPServer(
    name="my-mcp-server",
    version="1.0.0",
    instructions="A sample MCP server running on Lambda"
)

# Register tools using the decorator
@server.tool()
def hello_world(name: str) -> str:
    """Say hello to someone"""
    return f"Hello, {name}!"

# Lambda handler
def lambda_handler(event, context):
    return server.handle_request(event, context)

Features

• AWS Lambda Integration: Designed specifically for serverless deployment
• Session Management: Built-in Redis-based session storage
• Tool Registration: Easy decorator-based tool registration
• MCP Protocol: Full MCP protocol compliance
• Type Safety: Complete type annotations for better development experience

Configuration

Basic Configuration

server = LambdaMCPServer(
    name="my-server",
    version="1.0.0",
    instructions="Server description",
    cache_prefix="my_sessions",  # Redis key prefix
    redis_url="redis://localhost:6379/0"
)

Environment Variables

• REDIS_URL: Redis connection URL
• LOG_LEVEL: Logging level (DEBUG, INFO, WARNING, ERROR)

Session Management

Access and modify session data within your tools:

@server.tool()
def store_data(key: str, value: str) -> str:
    session = server.get_session()
    if session:
        session.data[key] = value
        return f"Stored {key} = {value}"
    return "No active session"

@server.tool()
def get_data(key: str) -> str:
    session = server.get_session()
    if session and key in session.data:
        return str(session.data[key])
    return "Key not found"

Develpment and test

Create and activate virtual environment

python -m venv .venv
source .venv/bin/activate

Install package in development mode

pip install -e .

See examples and their README.md file.