How to Use the Doppler MCP in Mastra AI

Q: Can I use Doppler to switch projects in Mastra AI?

Use listprojects to find your target and getproject to fetch the details. You can easily build a workflow that switches between different projects based on the agent's current task.

Q: How do I audit Doppler secret access in Mastra AI?

Call listactivitylogs after any sensitive operation. This returns a detailed list of who changed what, which you can then pass to a logging service or a notification channel.

Build resilient secret management workflows in Mastra AI using the Doppler MCP Server.

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Connect Doppler MCP to Mastra AI

Create your Vinkius account to connect Doppler to Mastra AI 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 Mastra AI

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Automate secret rotation in Mastra AI

Chain `change_secrets` into your agent workflows to handle automated credential rotation. You can set up logic that updates your environment variables the moment a key expires. This removes the manual burden of updating configs. Your agent handles the entire lifecycle, ensuring your production keys stay fresh without human intervention.

Branching logic with Doppler and Mastra AI

Use `list_projects` and `get_config` to determine which environment your agent should target before executing a task. This prevents accidents where an agent might touch staging secrets instead of production. Your workflow can verify the environment context first. It adds a layer of safety, ensuring your automated agents act on the correct infrastructure every time.

Trace secret usage in Mastra AI agents

Implement `list_activity_logs` as a final step in your agent tasks to verify that secret access was recorded. It serves as a programmatic audit log for every action your agent takes. This is critical for compliance. You get a clear history of every `get_secret` call, allowing you to debug issues or satisfy security requirements automatically.

Setup guide

Set up Doppler MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Doppler tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "doppler-mcp-client",
  servers: {
    "doppler-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Doppler Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Doppler tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Doppler transactions"
);
console.log(result.text);

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Common questions about Doppler MCP in Mastra AI

Add the server to your agent configuration using the Vinkius endpoint. You can then map the tools directly into your agent's toolset to enable secret management capabilities.

Mastra AI handles the retry logic for you, and Doppler's tools are designed to be idempotent where possible. If a network blip occurs during `get_secret`, the framework will attempt the call again.

Use `list_projects` to find your target and `get_project` to fetch the details. You can easily build a workflow that switches between different projects based on the agent's current task.

Call `list_activity_logs` after any sensitive operation. This returns a detailed list of who changed what, which you can then pass to a logging service or a notification channel.

Your secrets are handled in memory and never persisted in logs or external caches. The MCP Server ensures that only the specific agent with the correct permissions can execute `get_secret`.

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