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AWS MCP Servers

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GitHub Python Apache-2.0

Description

Official MCP server collection from AWS, providing AI agents with integration to core AWS services including Lambda, S3, DynamoDB, and Bedrock.

Key Features

  • Official suite of MCP servers from AWS — providing AI agents access to AWS documentation, best practices, and service integration
  • Covers core AWS services including Lambda, S3, DynamoDB, Bedrock, SQS, SNS, Step Functions, and more
  • Supports multiple AI clients — Claude Desktop, Cursor, VS Code, Windsurf, Kiro, and any MCP-compatible agent
  • Categorized by use case: infrastructure & deployment, AI & ML, data & analytics, developer tools, cost & operations
  • Runs locally via stdio transport — no cloud deployment needed for development
  • Apache 2.0 licensed with OSSF Scorecard security assessment

Use Cases

💡 AI-assisted cloud infrastructure management and deployment via Claude or Cursor
💡 Building MCP-powered chatbots that can query AWS documentation and service status
💡 Automating infrastructure as code with AI guidance on AWS best practices
💡 Data pipeline orchestration where AI agents interact with DynamoDB, S3, and SQS
💡 Cost optimization workflows with AI analyzing AWS billing and usage patterns

Strengths & Limitations

✅ Strengths

  • • Actively maintained, recent updates
  • • High community interest (9.6k stars)
  • • Permissive open-source license (Apache-2.0)

Tags

mcp aws cloud server python

Categories

🔌 MCP Tools

Quick Start

npm install -g @awslabs/mcp-server-aws
# Add to your MCP client config (e.g. ~/.claude/claude_desktop_config.json)
# Point server to: node_modules/@awslabs/mcp-server-aws/dist/index.js
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