How to Use the Adobe Sign MCP in Google ADK

Connect Adobe Sign to your Google ADK infrastructure for automated document control.

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Connect Adobe Sign MCP to Google ADK

Create your Vinkius account to connect Adobe Sign 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 Adobe Sign with Google ADK

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Automate signature requests via Google ADK

Map `create_agreement` to your business logic in Google Cloud. The tool executes the request as part of your existing agent workflow. By running this on Google ADK, your agent can trigger these actions based on data pulled from BigQuery or other connected services.

Retrieve combined documents in Google ADK

Execute `get_agreement_combined_document` to fetch the full PDF bundle once signing is complete. Your agent then saves this file to your storage bucket. It handles the heavy lifting of document merging automatically. Your agent code stays focused on the business logic rather than file manipulation.

Sync Adobe Sign users with Google ADK

Use `list_users` to pull your account roster into your agent's memory. This helps the agent assign roles for new agreements. It works perfectly with your existing Google Cloud identity management. You maintain full control over who performs actions within the agent environment.

Setup guide

Set up Adobe Sign 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 Adobe Sign 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="Adobe Sign_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Adobe Sign 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 Adobe Sign. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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Real-time monitoring

Live

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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Adobe Sign MCP in Google ADK

The MCP Server connects via standard transport protocols supported by the framework. You simply initialize the toolset and pass it to your agent constructor.

Yes, Gemini models can invoke these tools to process agreements. The 1M+ token context window allows the agent to reason over long audit trails.

You can restrict the exposed tools using a simple filter in your configuration. This ensures the agent only has access to the functions you permit.

Transient documents are stored on the service side for 7 days. Your agent should reference these files immediately after creation.

We strictly handle your agreement metadata. Your sensitive signing keys and document content are never exposed outside your secure Google Cloud environment.

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