4,500+ servers built on MCP Fusion
Vinkius
UniCourt logo
Vinkius
Claude Code logo

How to Use the UniCourt MCP in Claude Code

Run UniCourt data analysis pipelines headlessly with Claude Code in your terminal.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

UniCourt MCP on Cursor AI Code Editor MCP Client UniCourt MCP on Claude Desktop App MCP Integration UniCourt MCP on OpenAI Agents SDK MCP Compatible UniCourt MCP on Visual Studio Code MCP Extension Client UniCourt MCP on GitHub Copilot AI Agent MCP Integration UniCourt MCP on Google Gemini AI MCP Integration UniCourt MCP on Lovable AI Development MCP Client UniCourt MCP on Mistral AI Agents MCP Compatible UniCourt MCP on Amazon AWS Bedrock MCP Support
MCP Servers - Free for Subscribers
Claude Code

Connect UniCourt MCP to Claude Code

Create your Vinkius account to connect UniCourt to Claude Code 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

Scheduled Data Refreshing

Schedule recurring source updates for legal professionals. You can use `track_norm_attorney` to set up bar source refreshes for an attorney, or run `track_norm_law_firm` for law firms. The tool `track_case` automatically updates case records on a schedule, ensuring your data is always current without needing manual intervention.

Data Acquisition and Export

Use the CLI to initiate complex data retrieval. Run `request_case_export` when you need all case files zipped up. For single records, use `get_case` to get specific details for a known case identifier. Alternatively, if the record is already in UniCourt, run `get_case_export_callback` to retrieve the file URL directly.

Legal Search and Analysis

The terminal can execute powerful searches. Start by running `search_pacer_case_locator` for a direct PACER search, or use `search_cases` with specific case names. For deep dives, the server provides specialized search functions like `search_norm_judge` and `get_norm_law_firm`, giving you structured data points.

Setup guide

Set up UniCourt MCP in Claude Code

Prerequisites

  • Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Run the add command

    Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.

  2. 2

    Verify the connection

    Start a Claude Code session and type /mcp to list connected servers. You should see unicourt-mcp with a green status indicator.

  3. 3

    Start using tools

    Ask Claude Code something like "Check my latest UniCourt transactions." It will automatically discover and invoke the available UniCourt tools.

Terminal
claude mcp add --transport http unicourt-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Why Choose Vinkius

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

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 UniCourt MCP in Claude Code

Run the `search_cases` command directly in your script. You provide parameters like case names, and the CLI pipes the resulting list of matching records to the next step.
Yes. Use `update_pacer_credential` to programmatically refresh or manage your PACER credentials within a CI/CD job, keeping your automated scripts running smoothly.
First, execute `order_case_document`. Then, you must wait and poll the result using `get_document_order_callback` until the file URL is available to your script.
You can run `get_case_count_analytics` as a background job. This outputs a structured metric showing how many cases exist by type, perfect for pipeline reporting.
The server provides `get_case_update_status` to check the status of an asynchronous update. This is crucial when running background jobs that rely on timely court record changes.

Start using the UniCourt MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 27 tools

We've already built the connector for UniCourt. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 27 tools are live and waiting. You're up and running in seconds.

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
+ other MCP clients

Vinkius gives your AI agents access to the full catalog of app connectors, all fully managed, secure, and enterprise-ready. One subscription, every tool you need.

Zero hosting required Full MCP catalog included Enterprise-grade security Auto-updated by Vinkius

Built, hosted, and secured by Vinkius. You just connect and go.