Bring Court Records
to Vercel AI SDK
Learn how to connect UniCourt to Vercel AI SDK and start using 27 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the UniCourt MCP Server?
Connect your UniCourt account to any AI agent to streamline legal research and litigation tracking through natural language.
What you can do
- Case Search — Search across millions of court cases using keyword expressions and filters
- Automated Tracking — Use
track_caseto 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
How it works
- Subscribe to this server
- Enter your UniCourt Access Token
- Start querying legal records from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Legal Professionals — automate case monitoring and perform quick conflict checks
- Researchers — gather large-scale litigation data for market analysis
- Insurance & Finance — assess legal risks by inspecting party histories and active court cases
Built-in capabilities (27)
Delete PACER account credentials
Generate a new UniCourt access token
Get details for a specific case
Get case count analytics by case type
Get the file URL for a completed case export
Check the status of a requested case update
Get the file URL for a completed document order
Get analytics and details for a normalized attorney
Get analytics and details for a normalized judge
Get analytics and details for a normalized law firm
Get analytics and details for a normalized party
Retrieve current PACER account credentials status
High-priority case import
Import a case not in UniCourt via PACER
Order a court document
Request an export of case data as a ZIP file
Request an asynchronous update for a case
g., caseName:pfizer). Search for court cases
Search for normalized attorneys
Search for normalized judges
Search for normalized law firms
Search for normalized parties
Search PACER directly via Case Locator
Automatically update cases on a schedule
Schedule recurring bar source refreshes for an attorney
Schedule recurring source refreshes for a law firm
Manage PACER account credentials
Why Vercel AI SDK?
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.
- —
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
- —
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same UniCourt integration everywhere
- —
Built-in streaming UI primitives let you display UniCourt tool results progressively in React, Svelte, or Vue components
- —
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
UniCourt in Vercel AI SDK
UniCourt and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect UniCourt to Vercel AI SDK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for UniCourt in Vercel AI SDK
The UniCourt 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. All 27 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Vercel AI SDK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
UniCourt for Vercel AI SDK
Every tool call from Vercel AI SDK to the UniCourt MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How can I search for court cases involving a specific company?
Use the search_cases tool with a query like caseName:"Company Name". The agent will return a list of matching cases with their UniCourt IDs and basic details.
Can the AI automatically track a case for new updates?
Yes! By using the track_case tool with a specific caseId, you can set up automated monitoring. You can even specify a refreshWindow like '1d' for daily updates.
Is it possible to get professional background data for an attorney?
Absolutely. Use search_norm_attorney to find the attorney and then get_norm_attorney with their ID to retrieve detailed analytics and professional history.
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.
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.
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.
createMCPClient is not a function
Install: npm install @ai-sdk/mcp
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