How to Use the UniCourt MCP in OpenAI Agents SDK
Access real-time legal records and court analytics with your AI client.
Works with every AI agent you already use
…and any MCP-compatible client
Connect UniCourt MCP to OpenAI Agents SDK
Create your Vinkius account to connect UniCourt to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Track Legal Progress with OpenAI Agents SDK
The `track_case` tool automatically updates case files on a schedule. Your agent checks for changes, so you don't have to manually check the docket every day. You can also set up recurring refreshes using `track_norm_attorney` or `track_norm_law_firm`. This keeps your source data current without any manual intervention.
Search and Analyze Case Data via MCP Server
Want to find court cases? Use the `search_cases` tool. It lets you filter by criteria like case name, so you pull up exactly what you need fast. Need deep data dives? Check out `get_case_count_analytics`. This gives you analytics on how many cases fall under specific types across UniCourt.
Manage Credentials and Exports for OpenAI Agents SDK
It's important to keep your access current. Use `get_pacer_credential` or `update_pacer_credential` to manage your PACER account status right from the agent. You stay logged in, period. When you need a bulk download, the MCP Server handles requests through `request_case_export`. This sends you a ZIP file with all the case data you asked for.
Set up UniCourt MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all UniCourt tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives UniCourt tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate UniCourt tools and returns structured results. Copy the full example on the right to get started.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse
async def main():
async with MCPServerSse(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as server:
agent = Agent(
name="UniCourt Agent",
instructions="You have access to UniCourt tools.",
mcp_servers=[server],
)
result = await Runner.run(agent, "List recent transactions")
print(result.final_output)
asyncio.run(main()) 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.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about UniCourt MCP in OpenAI Agents SDK
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