A suite of specialized MCP servers that help you get the most out of AWS, wherever you use MCP.
This monorepo contains the following MCP servers:
A server for managing and coordinating other AWS Labs MCP servers.
- Automatic MCP Server Management
- Planning and guidance to orchestrate AWS Labs MCP Servers
- UVX Installation Support
- Centralized Configuration
A server for accessing AWS documentation and best practices.
- Search Documentation using the official AWS search API
- Get content recommendations for AWS documentation pages
- Convert documentation to markdown format
A server for accessing Amazon Bedrock Knowledge Bases.
- Discover knowledge bases and their data sources
- Query knowledge bases with natural language
- Filter results by data source
- Rerank results
A server for AWS CDK best practices.
- AWS CDK project analysis and assistance
- CDK construct recommendations
- Infrastructure as Code best practices
A server for AWS Cost Analysis.
- Analyze and visualize AWS costs
- Query cost data with natural language
- Generate cost reports and insights
A server for generating images using Amazon Nova Canvas.
- Text-based image generation with customizable parameters
- Color-guided image generation with specific palettes
- Workspace integration for saving generated images
- AWS authentication through profiles
A server for seamlessly creating diagrams using the Python diagrams package DSL.
- Generate professional diagrams using Python code
- Support for AWS architecture, sequence diagrams, flow charts, and class diagrams
- Customize diagram appearance, layout, and styling
- Code scanning to ensure secure diagram generation
An server to select and run AWS Lambda function as MCP tools without code changes.
- This server acts as a bridge between MCP clients and AWS Lambda functions, allowing foundation models (FMs) to access and run Lambda functions as tools.
- This can be used, for example, to access private resources such as internal applications and databases without the need to provide public network access.
- This approach allows an MCP client to use other AWS services, private networks, and the public internet.
- The Lambda function description is used by MCP to describe the tool and should guide the FMs on when (what does the function provide?) and how (which parameters it needs? which syntax?) to use it.
The Model Context Protocol (MCP) is an open protocol that enables seamless integration between LLM applications and external data sources and tools. Whether you're building an AI-powered IDE, enhancing a chat interface, or creating custom AI workflows, MCP provides a standardized way to connect LLMs with the context they need.
AWS MCP Servers use this protocol to provide AI applications access to AWS documentation, contextual guidance, and best practices. Through the standardized MCP client-server architecture, AWS capabilities become an intelligent extension of your development environment or AI application.
For example, you can use the AWS Documentation MCP Server to help your AI assistant research and generate code for any AWS service, like Amazon Bedrock Inline agents. Alternatively, you could use the CDK MCP Server to have your AI assistant create infrastructure-as-code implementations that use the latest AWS CDK APIs and follow AWS best practices.
AWS MCP servers enable enhanced cloud-native development, infrastructure management, and development workflows—making AI-assisted cloud computing more accessible and efficient.
The Model Context Protocol is an open source project run by Anthropic, PBC. and open to contributions from the entire community.
Each server has specific installation instructions. Generally, you can:
- Install
uvfrom Astral - Install Python using
uv python install 3.10 - Configure AWS credentials with access to required services
- Add the server to your MCP client configuration
Example configuration for Amazon Q CLI MCP (~/.aws/amazonq/mcp.json):
{
"mcpServers": {
"awslabs.core-mcp-server": {
"command": "uvx",
"args": ["awslabs.core-mcp-server@latest"],
"env": {
"FASTMCP_LOG_LEVEL": "ERROR",
"MCP_SETTINGS_PATH": "path to your mcp settings file"
}
},
"awslabs.nova-canvas-mcp-server": {
"command": "uvx",
"args": [
"awslabs.nova-canvas-mcp-server@latest"
],
"env": {
"AWS_PROFILE": "your-aws-profile",
"AWS_REGION": "us-east-1",
"FASTMCP_LOG_LEVEL": "ERROR"
}
},
"awslabs.bedrock-kb-retrieval-mcp-server": {
"command": "uvx",
"args": ["awslabs.bedrock-kb-retrieval-mcp-server@latest"],
"env": {
"AWS_PROFILE": "your-aws-profile",
"AWS_REGION": "us-east-1",
"FASTMCP_LOG_LEVEL": "ERROR"
}
},
"awslabs.cost-analysis-mcp-server": {
"command": "uvx",
"args": ["awslabs.cost-analysis-mcp-server@latest"],
"env": {
"AWS_PROFILE": "your-aws-profile",
"FASTMCP_LOG_LEVEL": "ERROR"
}
},
"awslabs.cdk-mcp-server": {
"command": "uvx",
"args": ["awslabs.cdk-mcp-server@latest"],
"env": {
"FASTMCP_LOG_LEVEL": "ERROR"
}
},
"awslabs.aws-documentation-mcp-server": {
"command": "uvx",
"args": ["awslabs.aws-documentation-mcp-server@latest"],
"env": {
"FASTMCP_LOG_LEVEL": "ERROR"
},
"disabled": false,
"autoApprove": []
},
"awslabs.lambda-mcp-server": {
"command": "uvx",
"args": ["awslabs.lambda-mcp-server@latest"],
"env": {
"AWS_PROFILE": "your-aws-profile",
"AWS_REGION": "us-east-1",
"FUNCTION_PREFIX": "your-function-prefix",
"FUNCTION_LIST": "your-first-function, your-second-function",
"FUNCTION_TAG_KEY": "your-tag-key",
"FUNCTION_TAG_VALUE": "your-tag-value"
}
}
}
}See individual server READMEs for specific requirements and configuration options.
Ready-to-use examples of AWS MCP Servers in action are available in the samples directory. These samples provide working code and step-by-step guides to help you get started with each MCP server.
Comprehensive documentation for all servers is available on our documentation website.
Documentation for each server:
- Core MCP Server
- Amazon Bedrock Knowledge Bases Retrieval MCP Server
- AWS CDK MCP Server
- Cost Analysis MCP Server
- Amazon Nova Canvas MCP Server
- AWS Diagram MCP Server
Documentation includes:
- Detailed guides for each server
- Installation and configuration instructions
- API references
- Usage examples
See CONTRIBUTING for more information.
Big shout out to our awesome contributors! Thank you for making this project better!
Contributions of all kinds are welcome! Check out our contributor guide for more information.
If you want to add a new MCP Server to the library, check out our development guide
This project is licensed under the Apache-2.0 License.
Before using an MCP Server, you should consider conducting your own independent assessment to ensure that your use would comply with your own specific security and quality control practices and standards, as well as the laws, rules, and regulations that govern you and your content.
