How to Use the Bloomberg Law MCP in Google ADK

Connect Bloomberg Law to your Google ADK agents to process 200M+ legal records inside your BigQuery-backed workflows.

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Connect Bloomberg Law MCP to Google ADK

Create your Vinkius account to connect Bloomberg Law 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 Bloomberg Law with Google ADK

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Enterprise Docket Search

Use `search_court_dockets` to query millions of records from within your Google ADK environment. It returns specific filing dates and case names for your downstream tasks. You can filter these requests by state or court to narrow the field. It provides the precision required for enterprise-level legal research.

Legal News Intelligence

Your Google ADK agent can stay ahead of industry shifts by calling `search_legal_news`. It pulls articles based on your specific topics and date ranges. This keeps your internal dashboards current without manual intervention. You get the news delivered as data objects ready for ingestion into your Google Cloud pipelines.

Filing Document Retrieval

Pull specific filings directly using `get_filing_document` once you identify a document ID from your `get_docket_entries` call. It allows your agent to grab the actual text of the filing. This connects your Google ADK agent to the original source documents. You get the data you need to build summaries or perform deeper entity extraction.

Setup guide

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

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

You instantiate the MCP toolset with your Vinkius endpoint URL. Once passed to your agent, the tools appear as native functions in your Google ADK flow.

Yes. You can pipe the results from these tools into BigQuery or other storage services. It makes legal data part of your standard infrastructure.

Yes, the search tools accept parameters for jurisdiction, date, and keywords. You control the scope of the data the agent receives.

Vinkius handles the underlying transport and authentication. You just provide the endpoint token and the SDK handles the rest.

Your research queries are treated as transient traffic. We enforce strict isolation on the server side so your case identifiers aren't cached or exposed.

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