A

AWS Amplify Data

This is an AWS Amplify Data MCP Server project that allows interaction with the data models of Amplify Gen2 applications through natural language, supports operations such as querying and modifying, and needs to be used with AI assistants like Claude.
2.5 points
26

What is the Amplify Data API MCP Server?

The Amplify Data API MCP Server allows you to interact with the data of AWS Amplify Gen2 applications through simple, natural conversational language. It supports listing models, viewing schema details, running custom queries, modifying data, and managing relationships.

How to use the Amplify Data API MCP Server?

By interacting with the server through natural language, you can easily perform various data operations, including querying, creating, updating, and deleting.

Example Usage

For example, you can enter '@amplify-data-api list all stories' to retrieve all stories in the database.

Features

Natural Language InterfaceInteract with data through simple conversational commands.
Data QuerySupports complex data queries and filtering.

Advantages and Disadvantages

How to Use

Install Dependencies
Ensure that all necessary software and libraries are installed.

Usage Examples

Frequently Asked Questions

What happens if Cognito is not configured correctly?
Can I modify existing data?

Related Resources

Amplify Documentation
Official Amplify documentation.
Cognito User Pool Guide
Guide for setting up Cognito user pools.
Installation
Copy the following command to your Client for configuration
{
     "mcpServers": {
       "amplify-data-api": {
         "command": "node",
         "args": [
           "/ABSOLUTE/PATH/TO/aws-amplify-data-mcp/build/index.js",
           "--amplify-outputs",
           "/ABSOLUTE/PATH/TO/YOUR/amplify_outputs.json"
         ],
         "env": {
           "AMPLIFY_USERNAME": "your-admin-username",
           "AMPLIFY_PASSWORD": "your-admin-password"
         }
       }
     }
   }
Note: Your key is sensitive information, do not share it with anyone.
Featured MCP Services
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
1.8K
5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
123
4.3 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
864
4.3 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
174
4.5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
6.7K
4.5 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
594
5 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
5.3K
4.7 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
780
4.8 points
AIbase
Zhiqi Future, Your AI Solution Think Tank
© 2025AIbase