How to Use the Bloomberg Law MCP in OpenAI Agents SDK

Plug Bloomberg Law directly into your OpenAI Agents SDK production pipeline for instant access to 200M+ court dockets.

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Connect Bloomberg Law MCP to OpenAI Agents SDK

Create your Vinkius account to connect Bloomberg Law to OpenAI Agents SDK 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 OpenAI Agents SDK

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Automated Case Law Analysis

Your agent pulls precedent directly from the source using `search_legal_cases`. It grabs case summaries and outcomes so your logic stays grounded in actual law. You avoid manual lookups by feeding these findings straight into your agent's decision loop. The tools handle the filtering by jurisdiction and date automatically.

Real-time Docket Monitoring

Keep your OpenAI Agents SDK project updated by checking `get_docket_alerts` on a schedule. Your code catches changes in active litigation without you lifting a finger. When alerts trigger, use `get_docket_entries` to parse the latest filings. It gives you the filing date and document links in one clean structured response.

Expert Witness Discovery

Find qualified professionals for your cases by executing `search_expert_witnesses` within your agent flow. Filter by specialty or jurisdiction to find the right person for the job. This MCP Server provides the raw data needed to build witness lists. It cuts out the research lag and puts the information right where your agent needs it.

Setup guide

Set up Bloomberg Law MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Bloomberg Law tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Bloomberg Law tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Bloomberg Law tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Bloomberg Law Agent",
            instructions="You have access to Bloomberg Law tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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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 OpenAI Agents SDK

Yes. You can use the suite of tools to search dockets, review case law, and pull news. It connects your agent to the same data professionals rely on.

The tools return structured data that the SDK maps into your Python objects. You can then use your internal validation logic to process case details safely.

Absolutely. You can write a loop that queries for docket updates and pushes them to your notification system. It keeps your case tracking current.

Vinkius manages the endpoint with token-based auth. Your data stays isolated and encrypted during transit between the service and your client.

We don't store your query parameters or the specific case identifiers you process. Your legal research remains ephemeral and isolated within the Vinkius sandbox.

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