How to Use the Paperform MCP in Google ADK

Q: Can Google ADK run analytical queries on Paperform submissions?

Yes, your agent uses listsubmissions to fetch the raw data and processes it using Gemini's long-context reasoning. You can then write those synthesized insights directly to BigQuery.

Q: Can I limit my agent to only read specific forms?

Yes, use the toolnames filter in your McpToolset to restrict your agent's capabilities. For example, you can expose getform while blocking webhook creation tools.

Feed Paperform submission data directly into your Google ADK pipelines for long-context analysis.

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Connect Paperform MCP to Google ADK

Create your Vinkius account to connect Paperform to Google ADK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Paperform with Google ADK

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Load bulk submissions into Google ADK

The `list_submissions` tool extracts raw form data directly into your Gemini context window. Your agent processes thousands of responses at once using Gemini's massive one-million-token capacity. This setup bypasses manual database staging entirely. You feed the output of `get_submission` straight into your analytical prompts to spot trends across your entire customer base.

Map workspaces and folders with your MCP Server

The `list_folders` tool exposes the organizational structure of your account to your Google ADK agent. The agent navigates your workspace, groups related forms, and identifies active data collection points. Combine this with `list_forms` to build automated indexing scripts. Your agent catalogs every active form, making it easy to run automated audits across different departments.

Manage active webhook integrations

The `create_webhook` tool allows your Google ADK workflows to spin up new target URLs for form events. This MCP setup lets your agent route incoming submissions directly to Google Cloud Storage or BigQuery. You can monitor these pipelines using `list_webhooks`. If an endpoint fails, your agent detects the issue and registers a fallback URL to keep your enterprise data flowing.

Setup guide

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

Initialize McpToolset using your Vinkius HTTP endpoint. Pass this toolset directly into your LlmAgent configuration to expose the form management tools to Gemini.

Yes, your agent uses `list_submissions` to fetch the raw data and processes it using Gemini's long-context reasoning. You can then write those synthesized insights directly to BigQuery.

It does. This MCP Server runs on Vinkius as an HTTP service, which you connect to using StreamableHttpServerParameters in your Python environment.

Yes, use the tool_names filter in your McpToolset to restrict your agent's capabilities. For example, you can expose `get_form` while blocking webhook creation tools.

Your account details and custom domains are accessed via ephemeral connections. The Google ADK client handles credentials securely for this MCP integration, and Vinkius executes the server code inside an isolated, zero-trust sandbox.

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