AI / MLPython

sample-serverless-mcp-servers

This repository contains sample implementations of AI Agents and MCP Servers running on AWS Serverless compute.

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AWSServerlessMCPAITerraformSAM

The sample-serverless-mcp-servers repository showcases various implementations of Model Context Protocol (MCP) servers designed to operate within AWS's serverless architecture. Each implementation demonstrates different configurations and technologies, including AWS Lambda and Amazon ECS, allowing developers to explore the capabilities of AI agents integrated with MCP servers. The repository includes both stateless and stateful server examples, catering to various use cases and performance needs. Additionally, the implementations utilize Infrastructure as Code (IaC) tools such as Terraform and AWS SAM, enabling easy deployment and management of server resources. This collection serves as a valuable resource for developers looking to understand how to build and deploy serverless applications that leverage AI capabilities and the MCP framework, making it easier to create scalable and efficient solutions in the cloud.

Compatible with

Claude DesktopCursor

Install

Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "sample-serverless-mcp-servers": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-sample-serverless-mcp-servers"
      ]
    }
  }
}

Config File Location

Mac: ~/Library/Application Support/Claude/claude_desktop_config.json

Windows: %APPDATA%\Claude\claude_desktop_config.json

Linux: ~/.config/claude/claude_desktop_config.json

Some servers require additional setup - check the GitHub README for specific instructions.

Permissions

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