How to Use the Lexzur MCP in CrewAI

Deploy autonomous legal crews with CrewAI to monitor litigation and manage documents using Lexzur tools.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Lexzur MCP to CrewAI

Create your Vinkius account to connect Lexzur 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 Lexzur with CrewAI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Specialized legal agent crews

Assign agents specific roles like researcher or auditor using Lexzur tools. One agent runs `list_litigation` to find updates while another prepares reports based on the findings. This setup allows agents to collaborate on complex cases. They share the workload, reducing the time spent on manual document retrieval.

Autonomous case monitoring

Set up a crew to watch for changes in active matters. When `list_matters` shows a new court date, the crew updates your internal tracker or alerts the relevant attorney. This creates a self-operating monitoring system. You define the goals, and the agents handle the routine checking of the Lexzur database.

Hierarchical document processing

Use a moderator agent to filter `list_documents` results before passing them to an analyst agent. This prevents your agents from being overwhelmed by irrelevant data. This keeps your legal analysis focused and precise. You control exactly what information enters the agent's decision-making loop.

Setup guide

Set up Lexzur 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 Lexzur tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent Lexzur 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="Lexzur Analyst",
        goal="Access and analyze Lexzur data via MCP.",
        backstory="Expert analyst with direct Lexzur access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Lexzur 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 Lexzur. 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 Lexzur 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 Lexzur MCP in CrewAI

Pass the server URL directly into the agent's mcps configuration. This gives your crew immediate access to the full suite of Lexzur legal tools.

Yes. Agents share a memory space, meaning one agent can discover a document using list_documents and another can analyze it in the next step.

You can use a tool filter to restrict access. This ensures your agents only use the specific tools necessary for their assigned tasks, keeping operations secure.

The framework allows you to run crews in sequential or hierarchical modes. This is ideal for legal work where document review must happen before invoice generation.

All communication with the server happens within a zero-trust sandbox. Access to your legal contacts and case files is limited to the authorized agent session.

Use it with your favorite AI tools

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

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript