How to Use the Doppler MCP in Vercel AI SDK

Q: Can I see secret history in Vercel AI SDK using Doppler?

You can pull logs using listactivitylogs to show historical changes directly in your app. It's perfect for building internal tools that require a clear audit trail of who changed what.

Q: What happens if I delete a secret via Doppler in the Vercel AI SDK?

The deletesecrets tool removes the entry from the specified config immediately. Be careful, as this action is permanent and any code relying on that variable will fail to resolve it.

Stream real-time secret management directly into your Vercel AI SDK frontends with the Doppler MCP Server.

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Connect Doppler MCP to Vercel AI SDK

Create your Vinkius account to connect Doppler to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Doppler with Vercel AI SDK

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Live secret inspection with Vercel AI SDK

Feed your UI live secret data by calling `list_secrets` directly within your stream. You'll see the values populate your components as the data arrives, removing the need for clunky loading states. Your users get immediate feedback when you trigger `get_secret` during a request. It's about keeping the interface snappy while maintaining strict access control to your environment variables.

Audit changes in your Vercel AI SDK workflow

Pipe your audit trails into your dashboard using `list_activity_logs`. You can display exactly who touched a config and when, right alongside your AI-generated content. This keeps your team informed without forcing them to jump over to a separate terminal. Just hook the tool into your agent's response loop to maintain full visibility.

Manage environment configs on the fly

Update your application state by firing `change_secrets` from your edge functions. You can modify environment variables dynamically based on user input or system events. It handles the heavy lifting of environment synchronization. Just verify your current context with `get_config` first, then push your updates to the live project.

Setup guide

Set up Doppler MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all Doppler tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Doppler transactions",
});

console.log(text);
await mcpClient.close();

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Doppler. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Doppler MCP in Vercel AI SDK

Install the MCP client package via npm and initialize the connection using your Vinkius endpoint URL. Pass the tools directly into your `generateText` function to start executing commands.

Yes, it uses ephemeral connections and your own API tokens to ensure data stays private. The MCP Server acts as a proxy, meaning your AI agent only sees the secrets you explicitly allow it to access.

You can pull logs using `list_activity_logs` to show historical changes directly in your app. It's perfect for building internal tools that require a clear audit trail of who changed what.

The `delete_secrets` tool removes the entry from the specified config immediately. Be careful, as this action is permanent and any code relying on that variable will fail to resolve it.

Data is protected through strict scope-based tokens and isolated execution environments. We never store your raw credentials, and every request to `get_secret` is logged for your internal review.

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