How to Use the Justia Legal Intelligence MCP in CrewAI

Q: How do specialized agents in CrewAI use Justia Legal Intelligence?

You assign tools like searchlegalcases to specific agents in your crew. The researcher agent queries the cases, while the writer agent drafts the summary.

Run autonomous multi-agent legal research teams with CrewAI and direct access to state statutes.

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Connect Justia Legal Intelligence MCP to CrewAI

Create your Vinkius account to connect Justia Legal Intelligence 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.

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Setup Justia Legal Intelligence with CrewAI

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Deploy specialized legal agents using this MCP Server

The `search_legal_cases` tool gives your research agent direct access to federal and state case law. While one agent searches for relevant opinions, a separate analyst agent evaluates the holdings. Your agents query this central library simultaneously to mimic a real law firm. This division of labor keeps the research organized.

Cross-reference statutes and cases autonomously

Your agents use `get_state_statutes` to pull relevant laws while another agent uses `search_legal_cases` to find matching judicial interpretations. They share this data through CrewAI's memory system. The crew works together to build a complete legal brief. You get a fully researched topic without having to run multiple manual searches.

Filter tools for specific agent roles in CrewAI

The `get_state_statutes` tool can be restricted to your statutory specialist agent, while your litigation agent only gets access to case searches. This prevents agents from getting distracted by irrelevant tools. Restricting tool exposure keeps your agent teams focused and reduces API token usage. You control exactly which agent has access to what legal data.

Setup guide

Set up Justia Legal Intelligence 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 Justia Legal Intelligence tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent Justia Legal Intelligence 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 →

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Common questions about Justia Legal Intelligence MCP in CrewAI

You assign tools like `search_legal_cases` to specific agents in your crew. The researcher agent queries the cases, while the writer agent drafts the summary.

Yes, you can set up a hierarchical crew where the first agent uses `get_state_statutes` and passes the results to a second agent to find matching case law.

You pass the secure URL provided by Vinkius directly in the agent's MCP Server configuration. This handles the connection and authentication in one step.

Yes. The hosted server handles concurrent requests, allowing multiple agents in your crew to run searches at the same time.

All requests for legal cases and state statutes are encrypted in transit. Vinkius runs the server in an ephemeral sandbox, meaning your search terms are destroyed immediately after execution.

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