Amazon DynamoDB MCP Server

Overview

The Amazon DynamoDB MCP Server is an official developer-focused MCP server for Amazon DynamoDB. It enables MCP-aware tools and agents to:

• Get expert DynamoDB data modeling guidance
• Validate DynamoDB data models end-to-end
• Analyze existing relational databases for migration to DynamoDB
• Execute DynamoDB API operations programmatically (locally or in AWS)

Category: database-messaging-mcp-servers
Brand: Amazon Web Services (AWS)

Features

1. Data Modeling Guidance

• dynamodb_data_modeling tool
  • Provides a complete DynamoDB Data Modeling Expert prompt.
  • Includes enterprise-level design patterns.
  • Covers cost optimization strategies.
  • Emphasizes multi-table design philosophy.
  • Guides through:
    • Requirements gathering
    • Access pattern analysis
    • Schema design for DynamoDB
  • Example usage: design a data model for an application (e.g., e‑commerce) using the MCP server.

2. Data Model Validation

• dynamodb_data_model_validation tool
  • Loads a dynamodb_data_model.json definition.
  • Sets up DynamoDB Local for testing.
  • Creates tables defined in the model.
  • Populates tables with test data.
  • Executes all defined access patterns against the test environment.
  • Produces and saves detailed validation results to dynamodb_model_validation.json.

3. Source Database Analysis (MySQL/Aurora)

• source_db_analyzer tool
  • Analyzes existing MySQL or Amazon Aurora databases.
  • Extracts:
    • Database schema structure
    • Access patterns from Performance Schema
  • Generates timestamped analysis files for use with dynamodb_data_modeling to assist in designing a DynamoDB data model.
  • Requires:
    • AWS RDS Data API
    • Credentials stored in AWS Secrets Manager

4. DynamoDB Command Execution

• execute_dynamodb_command tool
  • Executes AWS CLI DynamoDB commands.
  • Can target:
    • DynamoDB Local
    • AWS DynamoDB in the cloud
  • Supports all DynamoDB API operations.
  • Automatically configures credentials for local testing environments.
  • Example usage: create tables in a specified AWS account and region (e.g., us-east-1) based on a generated data model.

5. MCP Integration

• Designed as an MCP server consumable by MCP-aware clients (e.g., Kiro, Cursor, VS Code via MCP integrations).
• Exposes the four tools (dynamodb_data_modeling, dynamodb_data_model_validation, source_db_analyzer, execute_dynamodb_command) to those clients.

Prerequisites

• uv installed (from Astral or the uv GitHub repository).
• Python 3.10 installed via uv (e.g., uv python install 3.10).
• AWS credentials configured with access to required AWS services.

Installation & Configuration

General / Kiro Example

• Add the server to the MCP configuration file (e.g., for Kiro: .kiro/settings/mcp.json).
• Typical configuration fields include:
  • command: e.g., uvx
  • args: e.g., ["awslabs.dynamodb-mcp-server@latest"]
  • env (example):
    • FASTMCP_LOG_LEVEL: ERROR
  • disabled: false
  • autoApprove: []
• Default configuration sets AWS_REGION to us-west-2; this can be changed in the MCP configuration after installation.

Windows Installation

• Uses a slightly different MCP server configuration:
  • type: stdio
  • command: uv
  • args (conceptually):
    • tool
    • run
    • --from
    • awslabs.dynamodb-mcp-server@latest
    • awslabs.dynamodb-mcp-server.exe
  • Includes fields such as:
    • disabled: false
    • timeout: e.g., 60

Pricing

• No pricing information is provided in the available content.