How to Use the Appcues MCP in Google ADK
Give your Google ADK agents direct access to Appcues to read segment data and publish onboarding flows based on BigQuery analytics.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Appcues MCP to Google ADK
Create your Vinkius account to connect Appcues 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.
Analyze Appcues segments with Google ADK
Gemini agents call `list_segments` to cross-reference your BigQuery telemetry with active Appcues targeting. Enterprise teams already have their core data in Google Cloud. Now your system pulls the exact audience rules defining your in-app campaigns using `get_segment`. Because Gemini handles massive context windows, you feed thousands of segment definitions into a single prompt. The agent reads the output from the MCP Server, compares it against your Vertex AI models, and identifies overlapping user cohorts.
Manage user flows via MCP Server
Your automated systems check the current state using `list_flows` to control the lifecycle of your product tours. The agent knows exactly which tooltips and modals are live across your web application. It grabs granular details via `get_flow`. When a new feature rollout hits your pipeline, the agent triggers `publish_flow` to activate the corresponding experience. If a bug appears in production, it immediately executes `unpublish_flow` to hide the broken tour from users.
Sync user profiles and activities
Your agent uses `track_user_activity` to push profile updates based on backend events processed by Google Cloud. The payload accepts standard JSON strings. Sometimes you need to update user states without touching the frontend. To verify the update worked, the agent runs `get_user_profile`. It also pulls mobile-specific campaigns via `list_mobile_experiences` or web tasks with `list_checklists`. This keeps your cross-platform messaging perfectly aligned with your enterprise backend.
Set up Appcues 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 Appcues 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="Appcues_agent",
model="gemini-2.0-flash",
instruction="You have access to Appcues 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 Appcues. 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.
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Common questions about Appcues MCP in Google ADK
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