Compatible with every major AI agent and IDE
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 CrewAI?
When paired with CrewAI, UniCourt becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call UniCourt tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
- —
Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools
- —
CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the
mcpsparameter and agents auto-discover every available tool at runtime - —
Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls
- —
Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
UniCourt in CrewAI
UniCourt and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect UniCourt to CrewAI 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 CrewAI
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 CrewAI 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 CrewAI
Every tool call from CrewAI 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 CrewAI discover and connect to MCP tools?
CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.
Can different agents in the same crew use different MCP servers?
Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.
What happens when an MCP tool call fails during a crew run?
CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.
Can CrewAI agents call multiple MCP tools in parallel?
CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.
Can I run CrewAI crews on a schedule (cron)?
Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.
MCP tools not discovered
Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.
Agent not using tools
Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".
Timeout errors
CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.
Rate limiting or 429 errors
Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.
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