
AWS Common MCP Servers with CDK Deployment
Deployable MCP Servers for common AWS services (Location, S3, Aurora PG Data API) using AWS CDK.
What is AWS Common MCP Servers?
AWS Common MCP Servers is a project that provides deployable Model Context Protocol (MCP) servers for common AWS services, utilizing AWS Cloud Development Kit (CDK) for infrastructure provisioning.
How to use AWS Common MCP Servers?
To use the project, clone the repository, configure prerequisites, install dependencies, and deploy the stacks using AWS CDK commands.
Key features of AWS Common MCP Servers?
- Deployable MCP servers for AWS Location Service, Amazon S3, and Aurora PostgreSQL.
- Infrastructure as code using AWS CDK in Python.
- Supports interaction with AWS services through a standardized MCP interface.
Use cases of AWS Common MCP Servers?
- Deploying location-based services using AWS Location Service.
- Managing S3 operations programmatically.
- Executing SQL statements against Aurora PostgreSQL clusters via RDS Data API.
FAQ from AWS Common MCP Servers?
- What are the prerequisites for deployment?
You need an AWS account, AWS CLI configured, Node.js, Python 3.9+, and Docker.
- Can I deploy the servers locally?
Yes, but local testing requires adaptation and proper environment variable configuration.
- How do I clean up deployed resources?
Use the command
cdk destroy --all
to remove all deployed resources.
What is AWS Common MCP Servers?
AWS Common MCP Servers is a project that provides deployable Model Context Protocol (MCP) servers for common AWS services, utilizing AWS Cloud Development Kit (CDK) for infrastructure provisioning.
How to use AWS Common MCP Servers?
To use the project, clone the repository, configure prerequisites, install dependencies, and deploy the stacks using AWS CDK commands.
Key features of AWS Common MCP Servers?
- Deployable MCP servers for AWS Location Service, Amazon S3, and Aurora PostgreSQL.
- Infrastructure as code using AWS CDK in Python.
- Supports interaction with AWS services through a standardized MCP interface.
Use cases of AWS Common MCP Servers?
- Deploying location-based services using AWS Location Service.
- Managing S3 operations programmatically.
- Executing SQL statements against Aurora PostgreSQL clusters via RDS Data API.
FAQ from AWS Common MCP Servers?
- What are the prerequisites for deployment?
You need an AWS account, AWS CLI configured, Node.js, Python 3.9+, and Docker.
- Can I deploy the servers locally?
Yes, but local testing requires adaptation and proper environment variable configuration.
- How do I clean up deployed resources?
Use the command
cdk destroy --all
to remove all deployed resources.