How do I create a Doppler Service Token?

Log in to the [**Doppler Dashboard**](https://dashboard.doppler.com), select your project, go to **Settings** > **Tokens** and click **Generate Token**. Choose the scope (project + config/environment), set the access level (Read or Read+Write) and copy the token immediately — it won't be shown again.

Can I update multiple secrets at once?

Yes! Use the `change_secrets` tool with a JSON object mapping names to values, e.g. `{"DATABASE_URL":"postgres://new-host","API_KEY":"sk-new"}`. This creates or updates all specified secrets in a single atomic operation.

What is the difference between a Personal Token and a Service Token?

A **Personal Token** is scoped to your user account and can access all workspaces and projects you have permission for. A **Service Token** is scoped to a specific project and config, with either read-only or read+write access. Service tokens are recommended for CI/CD and automated integrations, while personal tokens are better for development and admin tasks.

Can I view the activity history for a project?

Yes! Use the `list_activity_logs` tool with the project_slug to see all audit events (secret reads, writes, config changes, user additions). Optionally filter by config_name to see activity for a specific environment only. Each log entry shows who performed the action, when, and what was affected.

Doppler MCP Server for AutoGen 12 tools — connect in under 2 minutes

Name: Doppler
Availability: InStock
Author: Vinkius

microsoft.github.io/autogen/docs/tools/mcp-tools

Built by Vinkius GDPR 12 Tools Framework

Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Doppler as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with McpWorkbench(
        server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
        transport="streamable_http",
    ) as workbench:
        tools = await workbench.list_tools()
        agent = AssistantAgent(
            name="doppler_agent",
            tools=tools,
            system_message=(
                "You help users with Doppler. "
                "12 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(main())

Fully ManagedVinkius Servers

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High SecurityEnterprise-grade

IAMAccess control

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V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Doppler MCP Server

Connect your Doppler account to any AI agent and take full control of your secrets management through natural conversation.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Doppler tools. Connect 12 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.

What you can do

Workspace & Project Discovery — List all workspaces and projects with their names, slugs and descriptions
Config (Environment) Management — View all configs (development, staging, production) per project and their metadata
Secret Auditing — List all secret names and computed values for any config, with environment fallback resolution
Secret Operations — Add, update and delete secrets in any environment with atomic change requests
Activity Logging — Review the full audit log of secret reads, writes, config changes and user activity per project

The Doppler MCP Server exposes 12 tools through the Vinkius. Connect it to AutoGen in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Doppler to AutoGen via MCP

Follow these steps to integrate the Doppler MCP Server with AutoGen.

Install AutoGen

Run pip install "autogen-ext[mcp]"

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Integrate into workflow

Use the agent in your AutoGen multi-agent orchestration

Explore tools

The workbench discovers 12 tools from Doppler automatically

Why Use AutoGen with the Doppler MCP Server

AutoGen provides unique advantages when paired with Doppler through the Model Context Protocol.

Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Doppler tools to solve complex tasks

Role-based architecture lets you assign Doppler tool access to specific agents. a data analyst queries while a reviewer validates

Human-in-the-loop support: agents can pause for human approval before executing sensitive Doppler tool calls

Code execution sandbox: AutoGen agents can write and run code that processes Doppler tool responses in an isolated environment

Doppler + AutoGen Use Cases

Practical scenarios where AutoGen combined with the Doppler MCP Server delivers measurable value.

Collaborative analysis: one agent queries Doppler while another validates results and a third generates the final report

Automated review pipelines: a researcher agent fetches data from Doppler, a critic agent evaluates quality, and a writer produces the output

Interactive planning: agents negotiate task allocation using Doppler data to make informed decisions about resource distribution

Code generation with live data: an AutoGen coder agent writes scripts that process Doppler responses in a sandboxed execution environment

Doppler MCP Tools for AutoGen (12)

These 12 tools become available when you connect Doppler to AutoGen via MCP:

change_secrets

Provide project_slug, config_name and a JSON object mapping secret names to values. For example: {"DATABASE_URL":"postgres://...","API_KEY":"sk-..."}. Existing secrets not included are not modified. Add or update secrets in a Doppler config

delete_secrets

Provide project_slug, config_name and comma-separated secret names. WARNING: deleted secrets cannot be recovered. If a secret inherits a value from a parent, it reverts to that value. Delete secrets from a Doppler config

get_account

Returns account email, name, and token metadata (type, scope, permissions). Use this to verify your token is working correctly and understand its access level. Get the current Doppler account details

get_config

Returns config name, project, root status, associated environment template, creation date and locked status. Get details for a specific Doppler config

get_project

Provide the project slug (e.g. "my-api-project") and optionally the workspace slug. Get details for a specific Doppler project

get_secret

Returns the secret name and its resolved value with fallbacks from parent environments applied. Get a specific secret value from a Doppler config

list_activity_logs

Each entry shows who performed what action, when and the affected config. Optionally filter by config_name. Useful for security auditing and compliance. List activity logs for a Doppler project

list_configs

Each config represents a deployment environment (development, staging, production) and contains its own set of secrets. Returns config name, project slug, root status and environment template used. List configs (environments) for a Doppler project

list_environments

g. development, staging, production, preview). Returns environment name, slug and whether it is the default environment. List Doppler environment types

list_projects

Optionally filter by workspace slug. Each project contains configs (environments) and secrets. Returns project name, slug, description, and creation date. List Doppler projects

list_secrets

Returns each secret's name, computed value (with environment fallbacks applied), visibility status. Provide the project_slug and config_name. List all secrets for a Doppler config

list_workspaces

A workspace is the top-level organizational unit in Doppler that groups projects. Returns workspace name, slug and creation date. List all Doppler workspaces

Example Prompts for Doppler in AutoGen

Ready-to-use prompts you can give your AutoGen agent to start working with Doppler immediately.

"Show me all configs for my 'backend-api' project."

"Update the DATABASE_URL secret in my prod config to point to the new database."

"Who changed secrets in my project in the last week?"

Troubleshooting Doppler MCP Server with AutoGen

Common issues when connecting Doppler to AutoGen through the Vinkius, and how to resolve them.

McpWorkbench not found

Install: pip install "autogen-ext[mcp]"

Doppler + AutoGen FAQ

Common questions about integrating Doppler MCP Server with AutoGen.

How does AutoGen connect to MCP servers?

Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call Doppler tools during their conversation turns.

Can different agents have different MCP tool access?

Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.