How to Use the Doppler MCP in OpenAI Agents SDK

Q: Can my OpenAI Agents SDK code list Doppler projects automatically?

Yes, once you connect the server, the agent discovers listprojects as a native tool. You simply invoke the function to fetch your workspace data.

Q: How do I rotate credentials using Doppler with OpenAI Agents SDK?

Use changesecrets to push new values to your config. Your agent can trigger this update whenever your security policy dictates a rotation interval.

Securely manage environment variables and secrets directly within your OpenAI Agents SDK production workflows.

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Connect Doppler MCP to OpenAI Agents SDK

Create your Vinkius account to connect Doppler to OpenAI Agents 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 OpenAI Agents SDK

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Audit secret access in OpenAI Agents SDK

Keep track of every configuration change by calling `list_activity_logs`. You'll see exactly who touched which environment, ensuring your security team stays happy with your automated processes. This visibility prevents configuration drift. Use `get_account` to verify your agent's current token scope before performing any sensitive operations.

Dynamic secret injection for OpenAI Agents SDK

Fetch live production values using `get_secret` to keep your agents updated without redeploying code. This MCP server resolves all parent fallbacks automatically. When you need to update values, `change_secrets` handles the payload in one call. It ensures your agent always has the correct credentials for its current task.

Environment scoping with OpenAI Agents SDK

Use `list_projects` and `list_configs` to isolate your development, staging, and production environments. Your agent can switch contexts by targeting specific project slugs. Once the project is set, `get_config` provides the status of the target environment. This prevents your agent from accidentally writing to the wrong workspace.

Setup guide

Set up Doppler MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Doppler tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Doppler tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Doppler tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Doppler Agent",
            instructions="You have access to Doppler tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Doppler MCP in OpenAI Agents SDK

You define your agent's access level using the token provided to the MCP server. Always audit these actions using `list_activity_logs` to ensure your OpenAI Agents SDK agent only touches necessary configs.

Yes, once you connect the server, the agent discovers `list_projects` as a native tool. You simply invoke the function to fetch your workspace data.

The server only fetches what you request via tool calls. By using `get_secret` specifically, you avoid loading entire environment files into your agent's context.

Use `change_secrets` to push new values to your config. Your agent can trigger this update whenever your security policy dictates a rotation interval.

Only the secrets you explicitly request are retrieved. The server processes raw configuration values and transmits them directly to your agent's execution environment.

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