
Core
STDIOCore MCP server for AWS solution planning and orchestration across multiple AWS services
Core MCP server for AWS solution planning and orchestration across multiple AWS services
MCP server that provides a starting point for using AWS MCP servers through a dynamic proxy server strategy based on role-based environment variables.
The Core MCP Server implements a proxy server strategy that dynamically imports and proxies other MCP servers based on role-based environment variables. This allows you to create tailored server configurations for specific use cases or roles without having to manually configure each server.
You can enable specific roles by setting environment variables. Each role corresponds to a logical grouping of MCP servers that are commonly used together for specific use cases:
Role Environment Variable | Description | Included MCP Servers |
---|---|---|
aws-foundation | AWS knowledge and API servers | aws-knowledge-server, aws-api-server |
dev-tools | Development tools | git-repo-research-server, code-doc-gen-server, aws-knowledge-server |
ci-cd-devops | CI/CD and DevOps | cdk-server, cfn-server |
container-orchestration | Container management | eks-server, ecs-server, finch-server |
serverless-architecture | Serverless development | serverless-server, lambda-tool-server, stepfunctions-tool-server, sns-sqs-server |
analytics-warehouse | Data analytics and warehousing | redshift-server, timestream-for-influxdb-server, dataprocessing-server, syntheticdata-server |
data-platform-eng | Data platform engineering | dynamodb-server, s3-tables-server, dataprocessing-server |
frontend-dev | Frontend development | frontend-server, nova-canvas-server |
solutions-architect | Solution architecture | diagram-server, pricing-server, cost-explorer-server, syntheticdata-server, aws-knowledge-server |
finops | Financial operations | cost-explorer-server, pricing-server, cloudwatch-server, billing-cost-management-server |
monitoring-observability | Monitoring and observability | cloudwatch-server, cloudwatch-appsignals-server, prometheus-server, cloudtrail-server |
caching-performance | Caching and performance | elasticache-server, memcached-server |
security-identity | Security and identity | iam-server, support-server, well-architected-security-server |
sql-db-specialist | SQL database specialist | postgres-server, mysql-server, aurora-dsql-server, redshift-server |
nosql-db-specialist | NoSQL database specialist | dynamodb-server, documentdb-server, keyspaces-server, neptune-server |
timeseries-db-specialist | Time series database specialist | timestream-for-influxdb-server, prometheus-server, cloudwatch-server |
messaging-events | Messaging and events | sns-sqs-server, mq-server |
healthcare-lifesci | Healthcare and life sciences | healthomics-server |
Note: Not all AWS MCP servers are represented in these logical groupings. For specific use cases, you may need to install additional MCP servers directly. See the main README for a complete list of available MCP servers.
Cursor | VS Code |
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Configure the MCP server in your MCP client configuration (e.g., for Amazon Q Developer CLI, edit ~/.aws/amazonq/mcp.json
):
{ "mcpServers": { "awslabs.core-mcp-server": { "command": "uvx", "args": [ "awslabs.core-mcp-server@latest" ], "env": { "FASTMCP_LOG_LEVEL": "ERROR", "aws-foundation": "true", "solutions-architect": "true" // Add other roles as needed }, "autoApprove": [], "disabled": false } } }
To enable specific role-based server configurations, add the corresponding environment variables to the env
section of your MCP client configuration. For example, the configuration above enables the aws-foundation
and solutions-architect
roles, which will import the corresponding MCP servers.
For Windows users, the MCP server configuration format is slightly different:
{ "mcpServers": { "awslabs.core-mcp-server": { "disabled": false, "timeout": 60, "type": "stdio", "command": "uv", "args": [ "tool", "run", "--from", "awslabs.core-mcp-server@latest", "awslabs.core-mcp-server.exe" ], "env": { "FASTMCP_LOG_LEVEL": "ERROR", "AWS_PROFILE": "your-aws-profile", "AWS_REGION": "us-east-1", "aws-foundation": "true", "solutions-architect": "true" // Add other roles as needed } } } }
or docker after a successful docker build -t awslabs/core-mcp-server .
:
{ "mcpServers": { "awslabs.core-mcp-server": { "command": "docker", "args": [ "run", "--rm", "--interactive", "--env", "FASTMCP_LOG_LEVEL=ERROR", "--env", "aws-foundation=true", "--env", "solutions-architect=true", "awslabs/core-mcp-server:latest" ], "env": {}, "disabled": false, "autoApprove": [] } } }
The server exposes the following tools through the MCP interface:
prompt_understanding
- Helps to provide guidance and planning support when building AWS Solutions for the given prompt