How to Use the AidaForm MCP in Google ADK

Q: Do I need to manually map AidaForm fields to BigQuery?

Not anymore. The agent pulls structured JSON via getresponse and formats it to match your BigQuery schema on the fly. Google Cloud native integration handles the final data insertion.

Feed AidaForm survey responses directly into Gemini using the Google ADK and write raw questionnaire data straight to BigQuery.

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Connect AidaForm MCP to Google ADK

Create your Vinkius account to connect AidaForm 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 AidaForm with Google ADK

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Massive Form Data Analysis

The `list_responses` and `export_responses` tools let your Google ADK agents pull entire batches of survey submissions at once. Gemini's massive million-token context window ingests thousands of open-ended text answers in a single pass without choking. Once the agent reads the data, it pipes those insights straight into Vertex AI or BigQuery. You skip the manual CSV exports entirely. The agent grabs the raw text, categorizes the sentiment, and structures the output for your enterprise dashboards.

Dynamic Questionnaire Generation

Your agents trigger `create_form` and `update_form` to build surveys based on real-time business needs. If a marketing campaign launches, the Gemini agent detects the event and spins up a targeted feedback form instantly. Using `list_workspaces` helps the agent figure out where to save these new assets. You just pass the `McpToolset` to your `LlmAgent`, and Google Cloud's infrastructure handles the MCP routing while Gemini writes the actual questions.

Monitor AidaForm MCP Server Analytics

Calling `get_form_analytics` gives your Gemini agent a direct read on conversion rates and drop-offs. The agent looks at the numbers, figures out which questions cause users to abandon the page, and suggests rewrites. You can filter the exposed functions using the `tool_names` parameter if you only want the agent doing analysis. That way, it reads stats and calls `get_form` to inspect the structure, but lacks permission to accidentally delete anything on the AidaForm MCP Server.

Setup guide

Set up AidaForm 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 AidaForm 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="AidaForm_agent",
    model="gemini-2.0-flash",
    instruction="You have access to AidaForm tools via MCP.",
    tools=mcp_tools,
)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by AidaForm. 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 AidaForm MCP in Google ADK

Install the SDK and set up an McpToolset using StreamableHttpServerParameters with your Vinkius URL. Pass that toolset directly to your LlmAgent initialization.

Yes, provided you expose those specific functions. The delete_response and delete_form tools are available, but you can restrict access using the tool_names filter if needed.

Gemini models handle massive context windows perfectly. Your agent pulls thousands of detailed responses and reasons across all of them simultaneously, which works brilliantly for qualitative feedback analysis.

Not anymore. The agent pulls structured JSON via get_response and formats it to match your BigQuery schema on the fly. Google Cloud native integration handles the final data insertion.

We isolate every request in a zero-trust V8 environment. When your agent fetches sensitive questionnaire answers, the Vinkius sandbox executes the fetch and instantly self-destructs. Nothing persists in memory.

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