How to Use the Legito MCP in Google ADK

Q: Can Google ADK agents manage Legito document sharing?

Yes. Your agent can control document access by calling sharewithusergroup and removesharefromusergroup. This lets Gemini manage team-wide permissions based on cloud triggers.

Q: Does the Google ADK support bulk template exports from Legito using the MCP protocol?

The agent can list all templates using listtemplatesuites and download specific versions with downloaddocumentversion. This makes it easy to back up your legal templates to Google Cloud Storage.

Connect Gemini agents to Legito to analyze contract records and manage templates alongside Google ADK workflows using this MCP Server.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Legito MCP to Google ADK

Create your Vinkius account to connect Legito 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 Legito with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Query Legito document records using Google ADK

Gemini's massive context window lets your agent ingest thousands of document records at once by calling `list_document_records`. The agent pulls metadata directly into your Google Cloud environment, allowing you to cross-reference active contracts against historical tables stored in BigQuery. This setup turns raw contract lists into structured insights. The agent uses `get_document_version_data` to extract specific clauses, allowing Gemini to flag inconsistencies across your entire library without manual reading.

Automate workspace access via Google ADK workflows

Keep your document workspace aligned with your corporate directory by calling `list_users` to sync new hires automatically. The framework maps your cloud identity policies directly to document permissions, ensuring new team members get immediate access. When employees change teams, the agent runs `add_user_to_group` and `remove_user_from_group` to update their access. This keeps your departments organized without manual administration.

Generate custom contracts from Google Cloud triggers

Trigger document creation from events in your cloud infrastructure by calling `list_template_suites` to find the correct agreement format. It then runs `create_document_version_data` to build the contract file using the data provided from your cloud database. The agent can customize the document based on the customer's region using `list_countries` and `list_currencies`. This ensures every generated contract complies with local legal standards automatically.

Setup guide

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

Initialize McpToolset with the server HTTP URL in Python. Pass this toolset to your LlmAgent so Gemini can call tools like `list_document_records` natively.

Yes. Your agent can control document access by calling `share_with_user_group` and `remove_share_from_user_group`. This lets Gemini manage team-wide permissions based on cloud triggers.

The agent can list all templates using `list_template_suites` and download specific versions with `download_document_version`. This makes it easy to back up your legal templates to Google Cloud Storage.

The server streams document data directly to your agent. Gemini uses its long-context window to process the output of `get_document_version_data` without hitting token limits.

Your sensitive document records and user permissions are processed locally within your Google Cloud project. The MCP connection uses encrypted HTTPS to communicate directly with the API, keeping your data private.

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