4,000+ servers built on vurb.ts
Vinkius
LlamaIndexFramework
LlamaIndex
UniCourt MCP Server

Bring Court Records
to LlamaIndex

Learn how to connect UniCourt to LlamaIndex and start using 27 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

MCP Inspector GDPR Free for Subscribers
Delete Pacer CredentialGenerate TokenGet CaseGet Case Count AnalyticsGet Case Export CallbackGet Case Update StatusGet Document Order CallbackGet Norm AttorneyGet Norm JudgeGet Norm Law FirmGet Norm PartyGet Pacer CredentialImport CaseImport Pacer CaseOrder Case DocumentRequest Case ExportRequest Case UpdateSearch CasesSearch Norm AttorneySearch Norm JudgeSearch Norm Law FirmSearch Norm PartySearch Pacer Case LocatorTrack CaseTrack Norm AttorneyTrack Norm Law FirmUpdate Pacer Credential

Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
UniCourt

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_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

How it works

  1. Subscribe to this server
  2. Enter your UniCourt Access Token
  3. 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_credential

Delete PACER account credentials

generate_token

Generate a new UniCourt access token

get_case

Get details for a specific case

get_case_count_analytics

Get case count analytics by case type

get_case_export_callback

Get the file URL for a completed case export

get_case_update_status

Check the status of a requested case update

get_document_order_callback

Get the file URL for a completed document order

get_norm_attorney

Get analytics and details for a normalized attorney

get_norm_judge

Get analytics and details for a normalized judge

get_norm_law_firm

Get analytics and details for a normalized law firm

get_norm_party

Get analytics and details for a normalized party

get_pacer_credential

Retrieve current PACER account credentials status

import_case

High-priority case import

import_pacer_case

Import a case not in UniCourt via PACER

order_case_document

Order a court document

request_case_export

Request an export of case data as a ZIP file

request_case_update

Request an asynchronous update for a case

search_cases

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

search_norm_attorney

Search for normalized attorneys

search_norm_judge

Search for normalized judges

search_norm_law_firm

Search for normalized law firms

search_norm_party

Search for normalized parties

search_pacer_case_locator

Search PACER directly via Case Locator

track_case

Automatically update cases on a schedule

track_norm_attorney

Schedule recurring bar source refreshes for an attorney

track_norm_law_firm

Schedule recurring source refreshes for a law firm

update_pacer_credential

Manage PACER account credentials

Why LlamaIndex?

LlamaIndex agents combine UniCourt tool responses with indexed documents for comprehensive, grounded answers. Connect 27 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

  • Data-first architecture: LlamaIndex agents combine UniCourt tool responses with indexed documents for comprehensive, grounded answers

  • Query pipeline framework lets you chain UniCourt tool calls with transformations, filters, and re-rankers in a typed pipeline

  • Multi-source reasoning: agents can query UniCourt, a vector store, and a SQL database in a single turn and synthesize results

  • Observability integrations show exactly what UniCourt tools were called, what data was returned, and how it influenced the final answer

L
See it in action

UniCourt in LlamaIndex

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

UniCourt and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect UniCourt to LlamaIndex 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.

4,000+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself4,000+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Enterprise Security

Why teams choose Vinkius for UniCourt in LlamaIndex

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 LlamaIndex 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.

UniCourt
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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

The Vinkius Advantage

How Vinkius secures UniCourt for LlamaIndex

Every tool call from LlamaIndex to the UniCourt MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

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.

02

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.

03

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.

04

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

05

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query UniCourt tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.

06

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

07

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

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