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How to Use the Appcues MCP in Google ADK

Give Google ADK agents direct MCP access to Appcues onboarding flows and user segments to drive product adoption using Gemini.

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Google ADK

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.

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Analyze Appcues Segments with Google ADK

Feed your entire customer segment database into Gemini's massive token window by executing `list_segments` and `get_segment`. The model reads thousands of user states at once, comparing them against your BigQuery telemetry to find where people drop off. You tie these insights directly to action. Once the agent identifies a struggling cohort, it pulls the relevant onboarding guides via `list_flows` and suggests optimizations based on historical usage patterns stored in Google Cloud.

Control Onboarding States via MCP

Managing what customers see happens instantly when your agent calls `publish_flow` or `unpublish_flow`. Instead of clicking through a dashboard, your enterprise agent pulls a draft flow, verifies its content, and pushes it live across your application. Fetching individual user context is just as fast. The agent uses `get_user` to grab specific profile attributes, allowing it to tailor its responses based on exactly which tutorials the customer has already completed.

Maintain Clean User Data

Keeping your analytics accurate means purging bad records, which your agent handles by triggering the `delete_user` tool. When a test account or spam signup hits your database, the agent removes it from Appcues entirely so your metrics stay pristine. System connectivity checks happen natively through `check_appcues_status`. Your Google ADK pipeline verifies the API is responsive before attempting to pull `list_checklists` or modify any production onboarding experiences.

Setup guide

Set up Appcues MCP in Google ADK

Prerequisites

  • Python 3.10+ installed
  • google-adk package (pip install google-adk)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install Google ADK

    Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.

  2. 2

    Connect via SSE transport

    Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Create an LlmAgent

    Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.

  4. 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.

agent.py
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

Install the google-adk package and initialize McpToolset using StreamableHttpServerParameters with your Vinkius endpoint. Pass this toolset directly into your LlmAgent configuration to expose the tools.
You can apply a tool_names filter when defining your toolset. This lets you expose safe read-only commands like get_flow while blocking destructive actions entirely.
The integration allows you to dump massive amounts of onboarding data straight into the prompt. You can fetch every active flow and checklist, and Gemini will hold it all in memory for complex reasoning tasks.
The Google ADK framework catches the HTTP transport error. You should ensure your agent logic handles these exceptions gracefully rather than crashing your enterprise pipeline.
Your customer segments and flow configurations never touch persistent storage on our infrastructure. Every request routes through a zero-trust architecture, ensuring your proprietary onboarding strategies remain completely isolated from other tenants.

Start using the Appcues MCP today

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