How to Use the MyCase Legal MCP in Google ADK

Q: How do I initialize MyCase Legal with Google ADK?

Import McpToolset and pass your endpoint URL via StreamableHttpServerParameters. Assign this toolset to your LlmAgent constructor. The agent immediately initializes the MCP server and gains access to all case management endpoints.

Q: Can Google ADK filter which MyCase Legal tools my agent sees?

You control exactly what the bot touches. Use the toolnames parameter to restrict the agent to specific MCP tools. If you only want it reading data, just expose getclientmycasecases and hide the creation endpoints.

Q: How do I track court dates using this setup?

Your LlmAgent calls listmycasecalendarevents to pull the firm's schedule. It then cross-references those dates with BigQuery records or alerts attorneys via Google Workspace integrations.

Connect MyCase Legal to Google ADK to analyze massive case files and automate firm billing using Gemini's long-context reasoning.

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Connect MyCase Legal MCP to Google ADK

Create your Vinkius account to connect MyCase Legal 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 MyCase Legal with Google ADK

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Analyze massive dockets with Google ADK

Law firms generate terrifying amounts of paperwork. You feed `list_mycase_documents` directly into Gemini's massive context window. The agent reads every single motion, brief, and discovery file associated with a matter in seconds. You avoid building custom chunking logic entirely. The ADK handles the heavy lifting while your agent uses `get_mycase_matter` to summarize case statuses alongside the raw document text. Attorneys get instant, accurate case briefings without spending hours reading PDFs.

Sync law firm financials to BigQuery

Enterprise firms need their billing data inside their primary data warehouse. Your Google Cloud agent runs `list_mycase_invoices` and `list_mycase_payments` on a schedule. It extracts the raw financial records and pipes them straight into BigQuery for partner reporting. Cross-referencing this data reveals actual profitability. The MCP integration pulls `list_mycase_time_entries` to compare hours worked against invoices paid. Managing partners finally see which practice areas actually make money instead of just generating busywork.

Manage your MyCase Legal MCP Server contacts

Keeping client records updated across a massive firm is a nightmare. You configure an agent to monitor incoming enterprise emails and trigger `list_mycase_contacts` to check for existing records. If the person is new, it executes `create_mycase_contact` instantly. The HTTP transport layer keeps this connection stable inside your Google Cloud environment. You just pass the `McpToolset` to your LlmAgent and it handles the rest. Your attorneys stop doing data entry and start focusing on actual litigation.

Setup guide

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

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Common questions about MyCase Legal MCP in Google ADK

Import `McpToolset` and pass your endpoint URL via `StreamableHttpServerParameters`. Assign this toolset to your LlmAgent constructor. The agent immediately initializes the MCP server and gains access to all case management endpoints.

You control exactly what the bot touches. Use the `tool_names` parameter to restrict the agent to specific MCP tools. If you only want it reading data, just expose `get_client_mycase_cases` and hide the creation endpoints.

The ADK forces the model to rely strictly on the data returned by `list_mycase_time_entries`. Gemini's large context window means it rarely loses track of details, keeping your billing narratives accurate.

Your LlmAgent calls `list_mycase_calendar_events` to pull the firm's schedule. It then cross-references those dates with BigQuery records or alerts attorneys via Google Workspace integrations.

Vertex AI enforces strict enterprise boundaries around your `get_mycase_invoice` payloads. The ephemeral architecture guarantees zero persistent storage of your financial records. Your firm maintains complete data sovereignty throughout the entire execution lifecycle.

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