awslabs/mcp
by Various
Open source MCP Servers for AWS
MCP
awslabs/mcp
Added 1 June 2026
Overview
A collection of open-source Model Context Protocol (MCP) servers for AWS services, maintained by AWS Labs. Each server exposes AWS capabilities (e.g., EC2, S3, Lambda) to MCP-compatible clients, enabling programmatic control via natural language or structured prompts.
Best for
Best for
Developers building AI assistants or automation tools that need to interact with AWS services via the Model Context Protocol.
Use cases
- Manage AWS resources like EC2 instances or S3 buckets through an MCP client
- Automate infrastructure tasks by chaining AWS service calls in a conversational interface
- Prototype AWS integrations without writing custom API wrappers
How to use
Tested with
Claude Desktop, Claude Code, Cursor, Windsurf, Cline, VS Code, Kiro
Notes
A collection of open-source Model Context Protocol (MCP) servers for AWS services, maintained by AWS Labs. Each server exposes AWS capabilities (e.g., EC2, S3, Lambda) to MCP-compatible clients, enabling programmatic control via natural language or structured prompts.
9,171 stars on GitHub. Last updated 2026-06-01. Licensed Apache-2.0.
Use cases
- Manage AWS resources like EC2 instances or S3 buckets through an MCP client
- Automate infrastructure tasks by chaining AWS service calls in a conversational interface
- Prototype AWS integrations without writing custom API wrappers
Pros
- Directly maintained by AWS Labs, ensuring alignment with official APIs
- Broad coverage of popular AWS services in a single repository
- Python-based, making it easy to extend or contribute
Cons
- Requires an MCP-compatible client and AWS credentials to use
- Documentation and examples may lag behind service updates
- Not all AWS services are covered; gaps exist for niche offerings
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Directly maintained by AWS Labs, ensuring alignment with official APIs
- Broad coverage of popular AWS services in a single repository
- Python-based, making it easy to extend or contribute
Cons
- Requires an MCP-compatible client and AWS credentials to use
- Documentation and examples may lag behind service updates
- Not all AWS services are covered; gaps exist for niche offerings
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