How to Use the Bloomberg Law MCP in CrewAI

Q: How do I restrict tool access for CrewAI using the Bloomberg Law MCP Server?

Use the toolfilter option when initializing your MCP server. This ensures your agents only see the tools they need for their specific role.

Q: Can CrewAI agents share Bloomberg Law data?

Yes. CrewAI memory allows agents to pass the results of searchlegalcases to other members of the team. This keeps everyone working on the same facts.

Scale your legal research operations with specialized CrewAI agents and the Bloomberg Law 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 Bloomberg Law MCP to CrewAI

Create your Vinkius account to connect Bloomberg Law to CrewAI 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 Bloomberg Law with CrewAI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Autonomous legal research in CrewAI

Assign a researcher agent to scan dockets using `search_state_dockets` while another agent summarizes findings. CrewAI coordinates the handoff between them using shared memory. The research agent uses `get_docket_entries` to find relevant documents. It then passes the document IDs to a second agent to extract the key facts.

Hierarchical case analysis

Organize a crew where one agent manages high-level strategy and others execute `search_legal_cases`. This structure keeps your deep-dive research organized. Agents use `get_case_details` to verify outcomes before reporting back to the lead. It automates the verification loop that usually takes hours of human labor.

Monitoring dockets with CrewAI

Set up a monitor agent to watch for new filings using `get_docket_alerts`. When the tool returns a hit, the agent triggers your notification logic. It handles the routine tracking of case statuses. Your team only steps in when the agent flags a significant update from the court records.

Setup guide

Set up Bloomberg Law MCP in CrewAI

Prerequisites

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

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Bloomberg Law tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Bloomberg Law Analyst",
    goal="Access and analyze Bloomberg Law data via MCP.",
    backstory="Expert analyst with direct Bloomberg Law access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Bloomberg Law transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Bloomberg Law Analyst",
        goal="Access and analyze Bloomberg Law data via MCP.",
        backstory="Expert analyst with direct Bloomberg Law access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Bloomberg Law transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

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 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Bloomberg Law 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 Bloomberg Law MCP in CrewAI

Use the tool_filter option when initializing your MCP server. This ensures your agents only see the tools they need for their specific role.

Yes. CrewAI memory allows agents to pass the results of `search_legal_cases` to other members of the team. This keeps everyone working on the same facts.

The server supports SSE and HTTP. You just provide the URL in your agent configuration, and it connects without custom wrappers.

We run your agents in isolated sandboxes. Your legal research data never touches our permanent storage or other users' sessions.

It accesses public federal and state court dockets, legal news, and company profiles. Your session is ephemeral and wiped clean after use.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python