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Amazon DynamoDB Table Connector for AI agents.

5 live capabilities

Securely manage and query NoSQL data in a specific AWS table.

Live agent request Amazon DynamoDB Table / Connector

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AI Agent

Why people use Amazon DynamoDB Table

Amazon DynamoDB Table for Secure NoSQL Data Management

This Connector changes that by giving your agent a direct, scoped connection to one specific DynamoDB table. You don't have to write extra code or worry about security leaks. Your agent just asks for the data it needs, and it gets it.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • Visual Studio Code
  • Windsurf

What Vinkius changes

You get a secure, isolated way for your agent to handle NoSQL data.

Use it from Claude, ChatGPT, Cursor or another AI client you already have.

One account · 6,100+ Connectors

  1. Real-world use case 01

    Long-term Chat Memory

    An agent needs to remember a user's preferences.

  2. Real-world use case 02

    Order Tracking

    A customer service bot needs to check order status.

  3. Real-world use case 03

    User Management Cleanup

    An admin capability needs to clean up accounts.

Complete set · 5capabilities

The complete Amazon DynamoDB Table capability set.

These are the exact actions your AI can choose when you ask it to work with Amazon DynamoDB Table.

Capability set01 / 02

01—03

3 capabilities in this set.

Part of 5 available through Amazon DynamoDB Table.

  1. 01 Capability

    Get item

    Pull a single record from the table using its unique key. It's the fastest way to grab one specific piece of data.

  2. 02 Capability

    Put item

    Add a new record to your table. Use this when your agent needs to save a new piece of information or a user update.

  3. 03 Capability

    Query table

    Find multiple items that match specific criteria. This is great for searching for groups of records like all active users.

Capability set02 / 02

04—05

2 capabilities in this set.

Part of 5 available through Amazon DynamoDB Table.

  1. 04 Capability

    Scan table

    Read every single item in the table. Use this when you need to see the full picture of your data for analysis.

  2. 05 Capability

    Delete item

    Remove a specific record from your DynamoDB table. This helps keep your data clean by getting rid of old entries.

Set up in minutes

One URL. Then ask Amazon DynamoDB Table to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Amazon DynamoDB Table from the conversation.

Choose your client

Live preview
Advanced clients IDE · CLI

Claude · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP
https://edge.vinkius.com/vk_preview_n32klzizAPnc4YO7K3qG23La7StLiOV91J7uGn2a/mcp
  1. Step 01

    Open Connectors

    In Claude Web or Claude Desktop, open Settings and choose Connectors.

  2. Step 02

    Add the URL

    Choose Add custom connector, name it Amazon DynamoDB Table, and paste the URL above.

  3. Step 03

    Turn it on in chat

    Select +, open Connectors, and enable Amazon DynamoDB Table for the conversation.

Where the request belongs

Work Amazon DynamoDB Table can move forward.

Built around the request

The backend engineer who needs to give an AI agent a memory without opening up their entire AWS account. Or the dev building a multi-user app that needs to store state reliably.

01

Backend Engineer

Building a production app that needs to store user sessions in a NoSQL database.

02

AI Architect

Creating an agent that needs to remember past conversations over long periods.

03

Data Engineer

Moving specific datasets into a managed NoSQL environment for AI processing.

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Bring your own AI

Change the model, client or framework. Keep Amazon DynamoDB Table connected.

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Before you connect

Questions about Amazon DynamoDB Table.

The practical details behind the request, access and result.

What does the Amazon DynamoDB Table MCP do?

This Connector gives your agent the ability to read, write, and query data in one specific DynamoDB table. It's designed to let your agent handle structured data without giving it access to your entire AWS account.

Is it safe to give my AI agent access to my AWS data?

Yes, because this Connector is scoped to a single table. It prevents your agent from seeing or touching any other databases, tables, or infrastructure in your account.

Can I use this for chat history?

That is a perfect use case. You can have your agent save new messages to the table and retrieve past conversations to maintain context during a session.

Does it work with any AI client?

Yes, you can connect this Connector to any compatible client like Claude, Cursor, or Windsurf through the Vinkius catalog.

How many tables can I connect at once?

This specific MCP is designed to manage one table at a time. This is a security feature that ensures your agent stays within a strictly defined data boundary.

Can my agent delete my whole database?

No. Because the permissions are scoped only to the items within one specific table, your agent cannot drop tables, delete other tables, or modify your cloud infrastructure.

Why limit the agent to a single table?

To enforce the principle of least privilege and zero-trust architecture. An autonomous agent shouldn't have the power to alter global cloud databases, which prevents accidental corruption of critical systems.

Can my agent access multiple tables?

Each instance of this server is scoped to exactly one table. If your agent needs access to multiple tables, you can subscribe to this server multiple times. each with a different table configuration. This maintains strict isolation.

Can I query using secondary indexes (GSI)?

Yes, you can specify the 'IndexName' inside your expression parameters when using the query capability, allowing the agent to perform efficient lookups on Global Secondary Indexes.

One connection away

Give your agent a direct line to Amazon DynamoDB Table.

Connect Amazon DynamoDB Table once. Keep it beside 6,100+ managed Connectors when the next task needs more.

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