How to Use the Doppler MCP in Google ADK
Connect your Google ADK agents to Doppler for centralized environment management and secret resolution.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Doppler MCP to Google ADK
Create your Vinkius account to connect Doppler to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Manage Google ADK environment configs
Use `list_environments` to see your staging or production targets. Your Google ADK agent can then select the correct config to perform operations. Call `get_config` to check if an environment is locked before attempting changes. This prevents accidental modifications during critical deployment windows.
Automated secret updates for Google ADK
Update credentials on the fly with `change_secrets`. Your agent passes a JSON object, and the Doppler platform handles the rest of the synchronization. If you need to clean up, `delete_secrets` removes values from the config. Be careful, as these removals are permanent and immediate.
Verify Google ADK agent permissions
Run `get_account` to confirm which workspace your Google ADK agent is currently accessing. This is your primary check for token validity. It returns your email and current permission level. Use this to debug connectivity issues before you run deeper operations like `list_secrets`.
Set up Doppler MCP in Google ADK
Prerequisites
- Python 3.10+ installed
-
google-adkpackage (pip install google-adk) - Active Vinkius subscription with a valid endpoint token
- 1
Install Google ADK
Run
pip install google-adkto install the Agent Development Kit. MCP support is included via theMcpToolsetclass. - 2
Connect via SSE transport
Use
McpToolset.from_server()withSseServerParamspointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create an LlmAgent
Pass the returned
mcp_toolslist directly toLlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required. - 4
Run with any Gemini model
The agent works with any Gemini model (
gemini-2.0-flash,gemini-2.5-pro, etc.). Copy the full example on the right to get started with Doppler tools in your ADK agent.
from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams
# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
connection_params=SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
)
# Create your agent with auto-discovered tools
agent = LlmAgent(
name="Doppler_agent",
model="gemini-2.0-flash",
instruction="You have access to Doppler tools via MCP.",
tools=mcp_tools,
) 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.
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 Google ADK
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