How to Use the Brazilian Judiciary Dictionary Engine MCP in Google ADK

Q: Does the Brazilian Judiciary Dictionary Engine support BigQuery integration via Google ADK?

It works alongside it. Your agent can call the searchlegalentities tool to parse court documents, then use ADK components to write those structured entities to BigQuery.

Feed verified Brazilian court data into your long-context Gemini agents using Google ADK.

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Connect Brazilian Judiciary Dictionary Engine MCP to Google ADK

Create your Vinkius account to connect Brazilian Judiciary Dictionary Engine 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 Brazilian Judiciary Dictionary Engine with Google ADK

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Query Brazilian courts inside massive Gemini contexts

The `search_legal_entities` tool allows your Gemini agents to scan millions of tokens of legal briefs for specific Brazilian tribunals. This integration lets your agent process entire court archives in one go, pinpointing relevant agencies without manual indexing. By loading the MCP Server through the Google ADK toolset, your agent gets a direct pipeline to 100+ pre-indexed legal bodies. It bypasses the need to write complex regular expressions for tricky Portuguese court acronyms.

Connect legal entity data to BigQuery using this MCP Server

The `search_legal_entities` tool extracts verified Brazilian court names that you can immediately write to BigQuery. Your Google ADK agent acts as a smart parser, cleaning raw legal text and structuring the output for your data warehouse. This bridge turns messy legal filings into structured datasets. You can run analytics on which Brazilian tribunals appear most frequently in your corporate litigation history.

Restrict tool exposure for enterprise agents

The `search_legal_entities` tool can be isolated using the Google ADK tool filtering options. You choose exactly which agents have access to the Brazilian court dictionary, keeping your system lean and secure. This control ensures that general-purpose agents do not waste processing power on legal parsing. Only your dedicated legal analysis agents load the dictionary toolset.

Setup guide

Set up Brazilian Judiciary Dictionary Engine 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 Brazilian Judiciary Dictionary Engine 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="Brazilian Judiciary Dictionary Engine_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Brazilian Judiciary Dictionary Engine tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Brazilian Judiciary Dictionary Engine MCP in Google ADK

You initialize the MCP server using the ADK streamable HTTP server parameters. Then, pass the resulting toolset directly to your Gemini agent constructor.

Yes, Gemini handles long contexts easily. The agent uses the `search_legal_entities` tool to scan the entire document and extract every Brazilian court mentioned.

It works alongside it. Your agent can call the `search_legal_entities` tool to parse court documents, then use ADK components to write those structured entities to BigQuery.

Yes, you can use the ADK tool names filter. This lets you expose only the specific legal search tools you want the agent to use.

The Vinkius sandbox executes the tool in a zero-trust environment. Your raw legal documents and extracted court names are processed in memory and deleted immediately after the tool execution finishes.

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