How to Use the UniCourt MCP in Vercel AI SDK

Q: How do I search for cases using UniCourt with Vercel AI SDK?

Call searchcases from your client. It takes inputs like a case name, and the result streams directly into the user interface via the Vercel AI SDK.

Q: Can I track updates for cases using UniCourt with Vercel AI SDK?

Yes. Use trackcase to automatically update records on a schedule. The results are delivered via your agent, and you can display the status changes in real time.

Q: Does the UniCourt MCP Server support importing data into Vercel AI SDK?

Absolutely. The server provides tools like importpacercase for bringing in cases not currently stored in UniCourt, making sure your user-facing application always has fresh data.

Q: How can I manage credentials for PACER using UniCourt with Vercel AI SDK?

You use updatepacercredential to handle account management. This is crucial because the secure credential status needs to be visible to your client application.

Access real-time court data using the Vercel AI SDK.

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Connect UniCourt MCP to Vercel AI SDK

Create your Vinkius account to connect UniCourt to Vercel AI SDK 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 Vercel AI SDK

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Check Case Status in Real-Time

Need to know if a case update went through? Call `get_case_update_status` to check its current status. Your agent gets the result immediately, allowing you to show the user data appearing live in their React component.

Search and Import Court Records

Finding a case? You can run `search_cases` to look up records or use `import_pacer_case` to pull fresh data from PACER. Since this works with your AI client's streaming capabilities, the user sees the search results pop in as they load, not after a spinner.

Normalize Legal Entities

Don't deal with messy names. Use `get_norm_attorney` or `search_norm_judge` to get clean data on lawyers and judges. This structured data streams right into your UI, letting the end user see exactly who you found without any backend delay.

Setup guide

Set up UniCourt MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all UniCourt tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent UniCourt transactions",
});

console.log(text);
await mcpClient.close();

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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 Vercel AI SDK

Call `search_cases` from your client. It takes inputs like a case name, and the result streams directly into the user interface via the Vercel AI SDK.

Yes. Use `track_case` to automatically update records on a schedule. The results are delivered via your agent, and you can display the status changes in real time.

This server touches case records, which contain identifying information about parties. Always handle token generation via `generate_token` and ensure your client respects OAuth best practices.

Absolutely. The server provides tools like `import_pacer_case` for bringing in cases not currently stored in UniCourt, making sure your user-facing application always has fresh data.

You use `update_pacer_credential` to handle account management. This is crucial because the secure credential status needs to be visible to your client application.

Use it with your favorite AI tools

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