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How to Use the HotDocs MCP in Google ADK

Connect Google ADK agents to HotDocs to generate legal documents from your cloud data.

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Google ADK

Connect HotDocs MCP to Google ADK

Create your Vinkius account to connect HotDocs 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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Google ADK template discovery

Your agent queries the full library of legal templates using `list_template_packages`. It identifies the necessary package ID to start the automation process immediately. It then uses `list_template_versions` to confirm it is using the most recent configuration. This ensures your legal forms reflect current requirements.

Automated assembly via Google ADK

The agent initiates a new session with `create_work_item` and maps your existing data into the required XML format. It then pushes these values using `update_answers`. Once the data is set, it calls `complete_assembly` to generate the final file. This removes the need for manual form filling in your enterprise environment.

Audit and track with Google ADK

You can run `list_work_items_by_date` to generate reports on all assembly activities. The agent returns a clean list of items for your internal tracking systems. If you need to check specific details, `get_work_item` provides the status of any ongoing process. This keeps your records accurate and current.

Setup guide

Set up HotDocs 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. 1

    Install Google ADK

    Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.

  2. 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. 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. 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 HotDocs 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="HotDocs_agent",
    model="gemini-2.0-flash",
    instruction="You have access to HotDocs tools via MCP.",
    tools=mcp_tools,
)

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

You instantiate the `McpToolset` with the server URL and include it in your `LlmAgent` configuration. This makes the entire suite of HotDocs tools available to your Gemini-powered agent.
Yes, the server provides `list_work_items` and `list_work_items_by_date` specifically for filtering. Your agent can query by date range to audit document history.
It is. The server uses a standard HTTP transport that your Google ADK environment can connect to over any secure network.
Each tool returns specific status codes. If a call like `complete_assembly` fails, the agent receives an error message and can attempt a retry or alert you.
Your document content and answers are handled in memory within an ephemeral V8 isolate. No persistent storage of your legal data occurs on the server itself.

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