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UniCourt MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 27 tools to Delete Pacer Credential, Generate Token, Get Case, and more

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The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect UniCourt through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Ask AI about this MCP Server for Vercel AI SDK

The UniCourt MCP Server for Vercel AI SDK is a standout in the Data Management category — giving your AI agent 27 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

async function main() {
  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      // Your Vinkius token. get it at cloud.vinkius.com
      url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    },
  });

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using UniCourt, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
UniCourt
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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About UniCourt MCP Server

Connect your UniCourt account to any AI agent to streamline legal research and litigation tracking through natural language.

The Vercel AI SDK gives every UniCourt tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 27 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

What you can do

  • Case Search — Search across millions of court cases using keyword expressions and filters
  • Automated Tracking — Use track_case to monitor specific litigation and receive updates on a schedule
  • Normalized Data — Access structured profiles for attorneys, law firms, judges, and parties to perform deep background checks
  • Document Management — Order court documents and export case data directly into your workflow
  • Legal Analytics — Retrieve case counts and analytics to understand litigation trends

The UniCourt MCP Server exposes 27 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 27 UniCourt tools available for Vercel AI SDK

When Vercel AI SDK connects to UniCourt through Vinkius, your AI agent gets direct access to every tool listed below — spanning court-records, legal-research, litigation-tracking, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

delete

Delete pacer credential on UniCourt

Delete PACER account credentials

generate

Generate token on UniCourt

Generate a new UniCourt access token

get

Get case on UniCourt

Get details for a specific case

get

Get case count analytics on UniCourt

Get case count analytics by case type

get

Get case export callback on UniCourt

Get the file URL for a completed case export

get

Get case update status on UniCourt

Check the status of a requested case update

get

Get document order callback on UniCourt

Get the file URL for a completed document order

get

Get norm attorney on UniCourt

Get analytics and details for a normalized attorney

get

Get norm judge on UniCourt

Get analytics and details for a normalized judge

get

Get norm law firm on UniCourt

Get analytics and details for a normalized law firm

get

Get norm party on UniCourt

Get analytics and details for a normalized party

get

Get pacer credential on UniCourt

Retrieve current PACER account credentials status

import

Import case on UniCourt

High-priority case import

import

Import pacer case on UniCourt

Import a case not in UniCourt via PACER

order

Order case document on UniCourt

Order a court document

request

Request case export on UniCourt

Request an export of case data as a ZIP file

request

Request case update on UniCourt

Request an asynchronous update for a case

search

Search cases on UniCourt

g., caseName:pfizer). Search for court cases

search

Search norm attorney on UniCourt

Search for normalized attorneys

search

Search norm judge on UniCourt

Search for normalized judges

search

Search norm law firm on UniCourt

Search for normalized law firms

search

Search norm party on UniCourt

Search for normalized parties

search

Search pacer case locator on UniCourt

Search PACER directly via Case Locator

track

Track case on UniCourt

Automatically update cases on a schedule

track

Track norm attorney on UniCourt

Schedule recurring bar source refreshes for an attorney

track

Track norm law firm on UniCourt

Schedule recurring source refreshes for a law firm

update

Update pacer credential on UniCourt

Manage PACER account credentials

Connect UniCourt to Vercel AI SDK via MCP

Follow these steps to wire UniCourt into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the script

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

The SDK discovers 27 tools from UniCourt and passes them to the LLM

Why Use Vercel AI SDK with the UniCourt MCP Server

Vercel AI SDK provides unique advantages when paired with UniCourt through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same UniCourt integration everywhere

03

Built-in streaming UI primitives let you display UniCourt tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

UniCourt + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the UniCourt MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query UniCourt in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate UniCourt tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed UniCourt capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with UniCourt through natural language queries

Example Prompts for UniCourt in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with UniCourt immediately.

01

"Search for court cases with the keyword 'Apple Inc' and sort by filing date."

02

"Set up automated tracking for case ID 1205934 with a daily refresh."

03

"Get the professional analytics for attorney ID ATTY-98765."

Troubleshooting UniCourt MCP Server with Vercel AI SDK

Common issues when connecting UniCourt to Vercel AI SDK through Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

UniCourt + Vercel AI SDK FAQ

Common questions about integrating UniCourt MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

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