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mcp

by awslabs·★ 9,068·Score 61

AWS Labs provides a comprehensive suite of MCP servers for AWS services, enabling AI applications to access AWS documentation and resources.

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Overview

This repository contains a collection of MCP servers specifically designed to enhance AI applications with AWS capabilities. The servers provide real-time access to AWS documentation, API references, and best practices. They enable AI systems to interact with AWS services through standardized MCP protocols, improving the accuracy and relevance of AI-generated cloud solutions. The project is actively maintained with regular updates and supports multiple transport mechanisms.

Try asking AI

After installing, here are 5 things you can ask your AI assistant:

you:AI-powered coding assistants for AWS infrastructure development
you:Chat applications providing real-time AWS documentation access
you:Automated cloud management workflows through AI agents
you:What is the Model Context Protocol (MCP)?
you:How do I use these MCP servers with different AI applications?

When to choose this

Teams using AWS services that need AI assistants to access up-to-date AWS documentation, perform infrastructure operations, and follow AWS best practices without exposing credentials.

When NOT to choose this

If you need write access to AWS resources (these primarily provide read-only access), or if you prefer a more integrated solution like the newer Agent Toolkit for AWS with additional security features.

Tools this server exposes

3 tools extracted from the README
  • aws_mcp_server

    Secure, auditable AWS interactions with comprehensive API support and documentation

  • aws_knowledge_mcp_server

    Access to latest AWS docs, API references, and Well-Architected guidance

  • aws_documentation_mcp_server

    Get latest AWS docs and API references

Note: Tool names were extracted from server names in the README, as they appear to be MCP servers that expose tools, but the specific tools each server exposes are not clearly documented in this README excerpt.

Comparable tools

aws-agent-toolkitmcp-proxy-for-awsaws-cli-mcp

Installation

Installation

For macOS/Linux

pip install -e .

For Windows

pip install -e .

Claude Desktop Configuration

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "aws-mcp": {
      "command": "python",
      "args": ["-m", "awslabs.mcp"]
    }
  }
}

FAQ

What is the Model Context Protocol (MCP)?
MCP is an open protocol that enables seamless integration between LLM applications and external data sources and tools through standardized client-server communication.
How do I use these MCP servers with different AI applications?
Each AI application has its own configuration method - the README provides setup instructions for popular clients like Cursor, VS Code, Claude Desktop, and others.

On Hacker News

Recent discussion from the developer community.

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Last updated · Auto-generated from public README + GitHub signals.