What is MCP AWS Server?
The AWS MCP Server collection, maintained by AWS Labs, provides MCP servers for interacting with AWS services. It covers core infrastructure management plus service-specific servers for S3, Lambda, DynamoDB, CloudFormation, and more, all using the AWS SDK with your existing credential chain.
Read the full overview
Requires configured AWS credentials (IAM role, access keys, or SSO). Useful for cloud engineers who want to query resource state, run CLI-style operations, and troubleshoot deployments without leaving the AI client.
Query and manage AWS services from Claude with natural language
Key capabilities
Multi-service coverage
Separate MCP servers for S3 (bucket and object operations), Lambda (function invocation, log retrieval), DynamoDB (table queries), CloudFormation (stack status and events), and ECR (image management). Install only the services you need.
Credential chain support
Uses the standard AWS credential chain: environment variables, shared credentials file, IAM instance profile, or AWS SSO. No separate credential configuration in the MCP server itself.
Where MCP AWS Server fits
Compatible with Claude Desktop, Cursor, Cline, and any MCP-compatible client. Install via npm (npx) or pip (uvx) depending on the server implementation language.
Positioning and limitations
The official choice for AWS-focused operations workflows. Replaces context-switching to the AWS Console or CLI for common lookup and management tasks when the AI already has enough context to know what action is needed.
MCP servers extend AI clients beyond their training data by giving them access to live systems: local files, databases, APIs, and services. Each server adds a set of typed tools the AI can call, inspect results from, and chain into multi-step workflows, all within a single conversation context.
“Query and manage AWS services from Claude with natural language”
Technical details
- Access
- See vendor
- Source model
- Open source
- License
- Verify license
- Founded
- Not specified
- Pricing model
- Free
- API
- Not specified
- Website
- github.com ↗
- GitHub
- Source repository ↗
What to verify
Start from the users, systems and operating responsibilities the tool needs to support.
- Confirm current features, licensing and support terms.
- Validate deployment, data location and access control.
- Test integrations, exports and recovery workflows.
Install
uvx awslabs.core-mcp-server@latestReviews of MCP AWS Server
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