How to Use the DottedSign MCP in Google ADK

Q: How do I configure the DottedSign MCP Server inside my Google ADK agent?

Use the McpToolset class with StreamableHttpServerParameters pointing to your Vinkius URL. Pass this toolset into your LlmAgent initialization. You also use the toolnames filter to expose only the specific tools your agent needs.

Q: Can my Google ADK agent monitor DottedSign webhooks?

Yes, the agent calls listwebhooks to inspect registered endpoints. While the MCP Server does not host webhook listeners, your Google ADK agent checks webhook configurations to ensure your Cloud Functions are properly registered.

Q: How does Google ADK handle rate limits when pulling DottedSign tasks?

When calling listtasks across large portfolios, implement batching in your Python code. The Google ADK toolset executes calls sequentially, so wrapping your loops in a backoff mechanism prevents API rate limit errors.

Q: What is the best way to handle templates with Google ADK?

Have your agent call listtemplates to fetch all available document formats. The agent then selects the correct template ID based on your prompt context and executes createtaskfromtemplate to dispatch the document.

Run enterprise Gemini agents that manage DottedSign tasks directly from your Google ADK pipelines.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect DottedSign MCP to Google ADK

Create your Vinkius account to connect DottedSign 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.

GDPR Free for Subscribers

Setup DottedSign with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Analyze signers using Google ADK long-context

Your Google ADK agent parses massive document folders, then calls `create_task` to route contracts to the correct signers. Gemini's million-token context window allows it to read complex legal terms and map them to DottedSign fields without losing track of details. By feeding BigQuery data directly into the agent, you automate customized contract generation. The agent matches customer records with templates using `list_templates` to ensure the correct signer receives the appropriate paperwork.

Sync signature status with BigQuery

Keep your data warehouse updated by using `list_tasks` and `retrieve_task` within your daily Google ADK batch jobs. The agent pulls live task statuses and updates your BigQuery tables without manual data entry. If a task remains unsigned for too long, the agent triggers an alert. The agent then calls `update_task` to modify details or send a reminder to the signer, closing the loop between your database and the DottedSign MCP Server.

Audit document lifecycles from Vertex AI

Run compliance checks on your legal pipeline by calling `get_audit_trail` directly from your Vertex AI workflows. The Google ADK agent pulls the complete history of a document to verify that all signers completed their steps in order. This integration builds an automated compliance monitor. If any anomalies appear in the audit trail, the agent flags the task and uses `cancel_task` to halt the process before execution completes.

Setup guide

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by DottedSign. 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.

Connect DottedSign now

Real-time monitoring

Live

visibility into every interaction

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 DottedSign MCP in Google ADK

Use the `McpToolset` class with `StreamableHttpServerParameters` pointing to your Vinkius URL. Pass this toolset into your `LlmAgent` initialization. You also use the `tool_names` filter to expose only the specific tools your agent needs.

Yes, the agent calls `list_webhooks` to inspect registered endpoints. While the MCP Server does not host webhook listeners, your Google ADK agent checks webhook configurations to ensure your Cloud Functions are properly registered.

When calling `list_tasks` across large portfolios, implement batching in your Python code. The Google ADK toolset executes calls sequentially, so wrapping your loops in a backoff mechanism prevents API rate limit errors.

Have your agent call `list_templates` to fetch all available document formats. The agent then selects the correct template ID based on your prompt context and executes `create_task_from_template` to dispatch the document.

All signer email addresses and task lists pass through an isolated V8 sandbox that decrypts data only during active execution. Vinkius never stores these payloads, keeping your customer contact lists secure inside your Google Cloud perimeter.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript