How to Use the UniCourt MCP in CrewAI

Q: How do I search for cases using UniCourt with CrewAI?

Assign an agent the searchcases tool. This allows your crew to autonomously research and compile a list of potential records based on diverse inputs, which is better than running a single query.

Q: How can I manage credentials for PACER using UniCourt with CrewAI?

You give an agent the tool updatepacercredential. This lets the crew handle account maintenance as part of its overall operation, making credential checks part of the workflow.

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Create your Vinkius account to connect UniCourt 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 UniCourt with CrewAI

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Perplexity

Autonomous Case Research

You don't need one agent; you need a team. Assign Agent A to run `search_cases` for specific names, while Agent B uses `get_case` to pull the full details. The monitor agent watches both tools and flags discrepancies in the case data.

Structured Legal Entity Mapping

To build a profile, assign Agent C to run `search_norm_attorney`, then have another agent use that search result with `get_norm_law_firm`. The shared memory ensures the law firm and attorney data are linked correctly across different tool calls.

Full Lifecycle Data Export

Want a complete record? First, one agent requests an export using `request_case_export`, while another concurrently uses `get_document_order_callback` to track specific documents. The crew works together until all required file URLs are gathered.

Setup guide

Set up UniCourt 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 UniCourt tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Assign an agent the `search_cases` tool. This allows your crew to autonomously research and compile a list of potential records based on diverse inputs, which is better than running a single query.

Yes. You can set up a monitoring agent specifically to call `track_case`. This keeps the process continuous; the crew doesn't stop until the update status is confirmed.

The server touches case records and party information. When defining your roles, always include a final verification step that checks credentials via `get_pacer_credential` before acting on the sensitive data.

Absolutely. The crew can handle both types of imports: using `import_case` for high-priority records, or running `search_pacer_case_locator` to find cases that need to be added.

You give an agent the tool `update_pacer_credential`. This lets the crew handle account maintenance as part of its overall operation, making credential checks part of the workflow.

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