Which package does this use?

@ai-sdk/mcp, with the createMCPClient function. HTTP and SSE transports are supported, with optional headers and OAuth via an authProvider.

If I connect Amazon DynamoDB Table to my app, can I use the same connection in Claude or ChatGPT later?

Yes, and that's the point: the connection is yours, not the app's. You paste the same link in any AI you use, and there's nothing new to set up or pay again. Connect a new AI and Amazon DynamoDB Table is already there.

Do I need to hand my Amazon DynamoDB Table password to my app?

Never. You sign in once at Vinkius, and we keep your logins encrypted and away from your AI. Your code only ever sees the link, and you can remove it whenever you want.

What can my app actually do with Amazon DynamoDB Table?

Whatever the Connector covers: check data, run actions and bring answers back. Pass the tools to streamText and the model picks the right one. The Connector page lists every capability, with real examples you can copy.

The tools don't show up. What do I check?

Confirm the url matches your link exactly and that the Connector is active in your Vinkius account, then call tools() again. A deactivated Connector stops responding.

Can I remove the access later?

Anytime. Close the client and remove the tools from your call, and Amazon DynamoDB Table leaves your app. Your Vinkius account keeps the connection and its history either way, ready for the next AI.

Use Amazon DynamoDB Table with Vercel AI SDK

Set up in seconds, once. From then on, Vercel AI SDK gets things done for you: add one client call, and Amazon DynamoDB Table is live in your Vercel AI SDK app.

Ask AI about this guide

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

Connecting Amazon DynamoDB Table to the Vercel AI SDK

About a minute, in your code

1Install the MCP client: npm install @ai-sdk/mcp, and import createMCPClient from '@ai-sdk/mcp'.
2Create the client with your Amazon DynamoDB Table link as the transport: { type: 'http', url: '<your link>' }. The link above is the URL.
3Call client.tools() and pass the tools to streamText. Amazon DynamoDB Table is now part of your AI SDK app.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "amazon-dynamodb-table-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_n32klzizAPnc4YO7K3qG23La7StLiOV91J7uGn2a/mcp"
    }
  }
}

Vercel AI SDK + Amazon DynamoDB Table

One chat. Your Amazon DynamoDB Table, live inside Vercel AI SDK.

Real prompts, answered with live data. This is the kind of interaction your app will have once the client is in.

Waiting for input…

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

These prompts ship with the Amazon DynamoDB Table Connector. Once yours is connected, they work in your sessions.

The full capability set, the prompts and the observed latency live on the Amazon DynamoDB Table Connector page.

Mission Control

See everything your Vercel AI SDK agents do in Amazon DynamoDB Table.

When your app runs a tool in Amazon DynamoDB Table, it happens inside your code: you see the output, but not the request itself, what data it carried, or whether a rule was broken.

Now every move lands on your screen.

Every execution is recorded, enforced, and shown to you: what ran, what it returned, what was blocked, and why.

AI Briefing

Upgrade to unlock

Know exactly what needs your attention before you even look at the charts. One briefing. The full picture. The next move.

Requests

Total in this period

Avg Latency

API 88ms · Overhead 54ms

Vinkius Reliability

Agent 280 · Upstream 47 · Vinkius 15

Tokens

AI tokens processed

DLP Protected

Sensitive data redacted

Cost Saved

FinOps truncations applied

AI Agents Activities

last 30 days

30d agotoday

Request Volume & Latency

requests latency

Every request your Vercel AI SDK agents make through Amazon DynamoDB Table is logged, enforced and auditable. See how AI Governance turns agent activity into accountability, and what it means for your Amazon DynamoDB Table workflows.

What sets us apart

It's not just the Connector that stays safe. Everything your agents do through it is.

Connecting Amazon DynamoDB Table to your AI is step one. But an open line between your agents and Amazon DynamoDB Table is only half the story: without protection, every action they take runs unguarded.

That's why protection doesn't stop at the door.

Every action your agents take through the Connector runs inside our infrastructure: signed activity logs, automatic key rotation, spending limits that pause instead of surprise, and a sandbox that isolates every execution.

Tamper Proof Activity Log

Every request your agents make in Amazon DynamoDB Table is recorded and signed, so any change to the history becomes detectable.

Automatic Key Rotation

We rotate security keys every 24 hours. Your Amazon DynamoDB Table connection stays protected without any manual work.

Spending Protection

We enforce the spending limit you choose and pause actions that exceed it until approval is received. Your Amazon DynamoDB Table actions never surprise you.

Isolated Sandbox

Every execution through Amazon DynamoDB Table runs isolated, with 34+ security rules covering memory, CPU, network access, file handling and execution.

Security Event Streaming

Security events flow to Splunk, Datadog or your own webhook, so Amazon DynamoDB Table activity lands in the tools you already rely on.

Instant Resume

Idle connections resume in 3 to 5 ms while preserving their state, keeping your Vercel AI SDK sessions responsive.

Malicious File Protection

We detect compressed files designed to exhaust system resources and block them before they ever reach Amazon DynamoDB Table.

Credential Validation

We test your Amazon DynamoDB Table credentials before saving them. Invalid credentials are rejected instead of being stored.

Separate Usage Limits

Usage stays isolated per account, so activity in one connection never consumes another account's allowance.

One Connector, one link, and the whole operation is protected. Not just the connection: everything your agents do through it.

These guarantees are not add-ons: they are the infrastructure every Amazon DynamoDB Table connection runs on. Read how our infrastructure protects everything your Vercel AI SDK agents do, end to end.

Inside Vinkius

Get Amazon DynamoDB Table ready for your AI. It's easy.

You choose Amazon DynamoDB Table from the Vinkius Catalog, sign in to your Amazon DynamoDB Table account, and get one connection link. That's it.

You choose Amazon DynamoDB Table
You find Amazon DynamoDB Table in the Catalog and install the Connector with one click.
Amazon DynamoDB Table
Active
Enable Connector
Activating…
You sign in
You connect your Amazon DynamoDB Table account and choose what you want your AI to access. Your credentials stay encrypted and separate from your AI.
Configure Credentials
Configure credentials for {{connectorName}}
Amazon DynamoDB Table sign-inRequiredEncrypted
Save & Continue
Encrypted Storage
Your credentials are encrypted at rest and in transit.
Never Shared
Your credentials are never shared with third parties.
Full Control
Revoke or update credentials at any time.
You add the link in your code
Vinkius gives you one connection link. In your app, you create an MCP client with the link as the HTTP transport URL, and the tools are ready.
Token generated successfully
MCP Connection URL
https://edge.vinkius.com/vk_preview_n32klzizAPnc4YO7K3qG23La7StLiOV91J7uGn2a/mcp
Connection Token
vk_live_••••••••
Go to Dashboard

Set it up once. Use Amazon DynamoDB Table with the AI you already use.

FAQ

Vercel AI SDK access questions.

01
Which package does this use?
@ai-sdk/mcp, with the createMCPClient function. HTTP and SSE transports are supported, with optional headers and OAuth via an authProvider.
02
If I connect Amazon DynamoDB Table to my app, can I use the same connection in Claude or ChatGPT later?
Yes, and that's the point: the connection is yours, not the app's. You paste the same link in any AI you use, and there's nothing new to set up or pay again. Connect a new AI and Amazon DynamoDB Table is already there.
03
Do I need to hand my Amazon DynamoDB Table password to my app?
Never. You sign in once at Vinkius, and we keep your logins encrypted and away from your AI. Your code only ever sees the link, and you can remove it whenever you want.
04
What can my app actually do with Amazon DynamoDB Table?
Whatever the Connector covers: check data, run actions and bring answers back. Pass the tools to streamText and the model picks the right one. The Connector page lists every capability, with real examples you can copy.
05
The tools don't show up. What do I check?
Confirm the url matches your link exactly and that the Connector is active in your Vinkius account, then call tools() again. A deactivated Connector stops responding.
06
Can I remove the access later?
Anytime. Close the client and remove the tools from your call, and Amazon DynamoDB Table leaves your app. Your Vinkius account keeps the connection and its history either way, ready for the next AI.
More questions about Amazon DynamoDB Table? The Connector page answers them. See everything the Amazon DynamoDB Table Connector can do

About the Connector

What Amazon DynamoDB Table adds to your AI.

Once you connect it, your AI gains 5 capabilities: the exact actions it can take in Amazon DynamoDB Table when you ask. The Connector page lists every one of them in detail, alongside the latency we measure in production and prompts worth trying first.

See everything the Amazon DynamoDB Table Connector can do