How to Use the Autenti MCP in Google ADK

Connect your Google ADK agents to Autenti for enterprise-grade document compliance.

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Connect Autenti MCP to Google ADK

Create your Vinkius account to connect Autenti 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 Autenti with Google ADK

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Perplexity

Execute complex signature actions via Google ADK

Use `execute_process_action` to send or reject documents based on your business logic. Your agent discovers available actions first by calling `list_available_process_actions` to match current process states. This workflow allows your agent to respond to document changes in real time. It keeps your legal processes moving without manual status checks.

List and audit files in Google ADK agents

Retrieve specific document lists using `list_process_files` to verify what is attached to a signature request. Your agent maintains perfect visibility into the document bundle. Combine this with `get_process_details` to confirm the integrity of the files before your agent triggers a signature request. It provides a clear audit path for every transaction.

Monitor webhooks within your Google ADK infrastructure

Query `list_configured_webhooks` to see which events your system is currently tracking. Your agent uses this to ensure that all signature updates trigger the correct downstream pipelines. This keeps your Google Cloud infrastructure in sync with document state changes. It prevents your agent from making decisions based on stale data.

Setup guide

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

You use the McpToolset class with your server URL and pass it to your LlmAgent configuration. The Google ADK supports both Stdio and HTTP transports for this connection. You can filter tool names if you need to restrict specific capabilities.

Since Google ADK models handle massive context, you can pass entire lists of signature processes into the agent. Use the tools to query specific details as needed. It handles complex document histories with ease.

You can pipe the output from this MCP Server directly into your BigQuery or Vertex AI workflows. Your agent acts as the bridge between document signature events and your cloud data storage. It creates a unified event loop for your business.

Vinkius employs ephemeral sandbox instances that destroy your session data immediately after execution. Your authentication tokens are stored securely and never exposed to the agent model's base training. You retain total control over your security posture.

We use encrypted tunnels for all communication between the server and your agent. Your document identifiers and participant names are transient inputs that exist only for the duration of the tool call. No data is cached on our host servers.

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