How to Use the Typeform MCP in Google ADK

Q: How do I integrate Typeform with Google ADK?

The MCP Server exposes tools like listforms and getformdetails. Your agent detects these operations, allowing it to treat Typeform management as just another data source in your enterprise workflow.

Q: What kind of reporting can Google ADK do with Typeform?

It can pull analytics via getforminsights and then process those metrics using Gemini models. Since the agent supports BigQuery, you're building reports that live in your central data warehouse.

Q: Does Google ADK support multiple Typeform accounts?

Yes. By listing all workspaces via listworkspaces, the agent can systematically check and act upon forms across different organizational boundaries within Google Cloud.

Act on Typeform data directly within your Google Cloud environment using Google ADK.

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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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Setup Typeform with Google ADK

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Analyze Form Insights with the MCP Server

You've got data sitting in BigQuery, and now you need context. Use `get_form_insights` to pull analytics for a Typeform directly into your Google Cloud agent workflow. The resulting metrics can then feed into long-context reasoning models. This means the agent doesn't just report numbers; it uses those numbers—like completion rates or drop-off points—to make complex decisions within Vertex AI.

List and Manage Typeform Workspaces

The `list_workspaces` tool lets your Gemini agent map out all the areas where you operate. It reads every workspace ID, providing a structured list that is perfect for passing to subsequent BigQuery queries. It helps scope the problem immediately. Instead of searching manually, the agent gets an authoritative list and focuses its attention only on relevant accounts.

Get Form Details by Form ID

Before running any major analysis, you need to know the source's schema. Call `get_form_details` to read a form’s structure and metadata. This information is crucial for building accurate schemas in BigQuery. The agent uses this blueprint to ensure that when it eventually runs `get_form_responses`, the resulting data fields match what your downstream models expect.

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

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 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,
)

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Common questions about Typeform MCP in Google ADK

The MCP Server exposes tools like `list_forms` and `get_form_details`. Your agent detects these operations, allowing it to treat Typeform management as just another data source in your enterprise workflow.

It can pull analytics via `get_form_insights` and then process those metrics using Gemini models. Since the agent supports BigQuery, you're building reports that live in your central data warehouse.

Yes. By listing all workspaces via `list_workspaces`, the agent can systematically check and act upon forms across different organizational boundaries within Google Cloud.

The framework is built for enterprise agents, supporting secure integration with BigQuery. This means your Typeform submissions are handled in a context designed for large-scale, controlled operations.

This server touches Form Responses. It retrieves the raw submission payloads, which can then be loaded and structured within BigQuery for long-term analysis.

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