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How to Use the Typeform MCP in Google ADK

Actionable Typeform Data for Google ADK: Build enterprise agents on BigQuery and Vertex AI.

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Google ADK

Connect Typeform MCP to Google ADK

Create your Vinkius account to connect Typeform 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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Process Form Submissions with the MCP Server

The agent processes form submissions by using `list_responses`. You specify a date range (since) or filter by completion status to pull exactly what you need. Need to know which forms exist first? Use `list_forms` to get all necessary IDs before querying data.

Monitor Form Submission Channels via the MCP Server

You can list out every webhook configured for a Typeform using `list_webhooks`. This shows you which endpoints are receiving real-time submission alerts. For comprehensive oversight, running `list_workspaces` gives you an account-wide view of all form collections.

Identify Form Structure and Details

The tool uses `get_form_details` to provide a clear understanding of the questions within a Typeform. This is critical for your agent's reasoning. If you need to know everything about the container holding the form, run `get_workspace_details`.

Setup guide

Set up Typeform 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 Typeform 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="Typeform_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Typeform 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 Typeform. 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 Typeform MCP in Google ADK

Call `get_form_details`. This gives you a detailed breakdown of the questions asked in any specific Typeform, letting your agent understand the data schema.
You use `list_workspaces`. This method pulls a clean list of all available workspace IDs, helping you map out where your forms are stored.
Yes. The `list_responses` tool lets you gather submitted data. You can refine this by setting a 'since' date to focus on recent inputs.
The `list_forms` method provides an inventory of every single form ID in your account, giving you the starting points for data retrieval.
This server handles form submission responses. The `list_responses` tool accesses user-provided answers, which are the core sensitive completion data.

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