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Connect Amazon DynamoDB Table to ChatGPT, Claude and Gemini

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Safely manage structured data without global AWS permissions.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 5 capabilities

We ship only the actions that matter.

Capability set01 / 02

01-03

3 capabilities in this set.

Part of 5 available through Amazon DynamoDB Table.

  1. 01

    Put item

    Put an item into the DynamoDB table

  2. 02

    Scan table

    Scan the DynamoDB table

  3. 03

    Delete item

    Delete an item from the DynamoDB table

Capability set02 / 02

04-05

2 capabilities in this set.

Part of 5 available through Amazon DynamoDB Table.

  1. 04

    Get item

    Get an item from the DynamoDB table

  2. 05

    Query table

    Query the DynamoDB table

Real work

What teams actually run

01

Chat History Management

The AI stores every turn of conversation in the table, allowing it to recall context for follow-up messages.

02

User Profile Storage

It manages user-specific data, such as preferences, account status, and last login details.

03

Order Tracking

The agent records and updates order details, allowing it to answer questions about fulfillment status.

04

Application State

It keeps track of complex, multi-step processes, ensuring the AI remembers where the user left off.

Automate a task

Put Amazon DynamoDB Table to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

Amazon DynamoDB Table works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put Amazon DynamoDB Table to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

960ms average. Fast in production.

Amazon DynamoDB Table is checked daily against the live service.

Daily averagePeak 1183ms
Oct 3Today
Fastest day
732ms
Slowest day
1183ms
14-day trend
Stable+1%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 5 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Amazon DynamoDB Table, so you can see the experience inside your AI.

It does not authenticate your account with Amazon DynamoDB Table. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Amazon DynamoDB Table Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_n32klzizAPnc4YO7K3qG23La7StLiOV91J7uGn2a/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Amazon DynamoDB Table capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "amazon-dynamodb-table-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_n32klzizAPnc4YO7K3qG23La7StLiOV91J7uGn2a/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up Amazon DynamoDB Table in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Amazon DynamoDB Table owners hand off.

Developers building client-facing applications, backend engineers managing state, and data architects needing contained database access use this MCP. It's ideal when your AI needs to interact with structured data but must operate within strict security boundaries.

  • 01

    Backend Developer

    Needs the AI to manage user session data and application state in a controlled manner.

  • 02

    Data Architect

    Requires a secure, single-purpose connector to prevent overly broad cloud permissions.

  • 03

    Product Manager

    Needs to prototype features that require persistent, structured data storage (like chat logs) without full database access.

FAQ

Questions Amazon DynamoDB Table owners ask.

  • 01

    Is this connector safe for production use?

    Yes. This MCP is designed specifically for security. It strips away dangerous global AWS permissions, meaning the AI can only interact with the single, defined DynamoDB table. It cannot list or modify other resources.

  • 02

    What kind of data can I store here?

    Since it's a DynamoDB table, it handles structured NoSQL data. You can store anything from simple key-value pairs to complex, nested JSON objects, making it versatile for application state.

  • 03

    Does this MCP support all DynamoDB features?

    It supports the core functions needed for most applications, including querying by specific criteria, retrieving items by key, and full table scans.

  • 04

    If I change my AWS credentials, do I need to reconnect?

    No. Vinkius manages the credentials and keeps the MCP running. You connect your AI client once, and Vinkius handles the secure connection to the hosted resource.

  • 05

    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.

  • 06

    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.

  • 07

    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.

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