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Searchable catalog of Model Context Protocol servers. Find tools that connect your AI assistant to the services and data you use.

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  3. /AWS DynamoDB
Cloud PlatformsOfficial
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AWS DynamoDB

The official developer experience MCP Server for Amazon DynamoDB. This server provides DynamoDB expert design guidance and data modeling assistance. > [!IMPORTANT] > Generative AI can make mistakes. You should consider reviewing all output generated by your chosen AI model and agentic coding assistant. See AWS Responsible AI Policy. The DynamoDB MCP server provides eight tools for data modeling, validation, cost analysis, and code generation: - dynamodb_data_modeling - Retrieves the complete DynamoDB Data Modeling Expert prompt with enterprise-level design patterns, cost optimization strategies, and multi-table design philosophy. Guides through requirements gathering, access pattern analysis, and schema design.

0 starsUpdated Aug 31, 2026
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Overview

The official developer experience MCP Server for Amazon DynamoDB. This server provides DynamoDB expert design guidance and data modeling assistance. > [!IMPORTANT] > Generative AI can make mistakes. You should consider reviewing all output generated by your chosen AI model and agentic coding assistant. See AWS Responsible AI Policy. The DynamoDB MCP server provides eight tools for data modeling, validation, cost analysis, and code generation: - dynamodb_data_modeling - Retrieves the complete DynamoDB Data Modeling Expert prompt with enterprise-level design patterns, cost optimization strategies, and multi-table design philosophy. Guides through requirements gathering, access pattern analysis, and schema design.

Capabilities

  • dynamodb_data_modeling

    Design a DynamoDB data model — Walk through requirements gathering, access pattern analysis, and table design using `dynamodb_data_modeling`.

  • dynamodb_data_model_validation

    Validate a data model against DynamoDB Local — Automatically create tables, insert test data, and verify access patterns with `dynamodb_data_model_validation`.

  • source_db_analyzer

    Analyze a source relational database for migration — Extract schema and access patterns from MySQL, PostgreSQL, SQL Server, or Oracle using `source_db_analyzer`.

  • dynamodb_data_model_schema_converter

    Convert a data model into a structured schema — Transform `dynamodb_data_model.md` into a machine-readable `schema.json` with `dynamodb_data_model_schema_converter`.

  • generate_data_access_layer

    Generate type-safe Python data access code — Produce Pydantic entities and repository classes from a validated schema with `generate_data_access_layer`.

  • compute_performances_and_costs

    Estimate capacity units and monthly costs — Calculate RCU/WCU and storage costs for all access patterns using `compute_performances_and_costs`.

Installation

uvx awslabs.dynamodb-mcp-server@latest

Configuration

{
  "mcpServers": {
    "dynamodb-mcp-server": {
      "command": "uvx",
      "args": [
        "<tool>@latest"
      ]
    }
  }
}
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Paste into ~/.cursor/mcp.json or .cursor/mcp.json

Tags

  • database
  • aws
  • development
  • cloud-infrastructure
  • awesome-list

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