How to Use the Formbricks MCP in Google ADK

Q: How do I monitor Formbricks webhooks in Google ADK?

Use listwebhooks to verify your trigger endpoints. Your agent can then confirm that your feedback loop is active and correctly configured.

Connect your Google ADK enterprise agents to live user feedback data.

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Connect Formbricks MCP to Google ADK

Create your Vinkius account to connect Formbricks 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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Setup Formbricks with Google ADK

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Sync feedback into Google ADK pipelines

Feed survey data directly into your Google Cloud infrastructure using `list_responses`. Your agents can now correlate user satisfaction scores with performance metrics in BigQuery. This creates a unified view of user intent across your entire enterprise stack. You stop guessing why users drop off and start seeing the data.

Manage survey lifecycle via Google ADK

Your agent controls the entire survey lifecycle using `delete_survey` and `get_survey`. If a campaign becomes obsolete, the agent cleans it up automatically. This prevents your dashboard from cluttering up with old, unused surveys. You keep your feedback infrastructure lean and focused on current product goals.

Identify users with Google ADK tools

Call `get_person` to pull detailed profiles for users who just submitted feedback. This lets your agent tailor follow-up responses to the specific user segment. It moves your support from generic replies to personalized interactions. You use the data to solve problems, not just collect them.

Setup guide

Set up Formbricks 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

Install Google ADK

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

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

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 Formbricks 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="Formbricks_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Formbricks tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Formbricks MCP in Google ADK

You instantiate an McpToolset with your server URL. The agent then treats your surveys as native tools within the Gemini execution context.

Absolutely. Since your agent has access to both, you can fetch feedback with `get_response` and write it directly to your data warehouse.

The server operates in a zero-trust sandbox. It only accesses the survey objects you explicitly allow, protecting your user PII.

Yes. You can pass a list of tool names to the toolset to restrict the agent's access. This keeps your agent focused on specific survey tasks.

Use `list_webhooks` to verify your trigger endpoints. Your agent can then confirm that your feedback loop is active and correctly configured.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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