UniCourt MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 27 tools to Delete Pacer Credential, Generate Token, Get Case, and more
GDPR Free for SubscribersThe OpenAI Agents SDK enables production-grade agent workflows in Python. Connect UniCourt through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
Ask AI about this MCP Server for OpenAI Agents SDK
The UniCourt MCP Server for OpenAI Agents SDK is a standout in the Data Management category — giving your AI agent 27 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Geminiimport asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="UniCourt Assistant",
instructions=(
"You help users interact with UniCourt. "
"You have access to 27 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from UniCourt"
)
print(result.final_output)
asyncio.run(main())
* 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 OpenAI Agents SDK auto-discovers all 27 tools from UniCourt through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries UniCourt, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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
The UniCourt MCP Server exposes 27 tools through the Vinkius. Connect it to OpenAI Agents 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 OpenAI Agents SDK
When OpenAI Agents 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 pacer credential on UniCourt
Delete PACER account credentials
Generate token on UniCourt
Generate a new UniCourt access token
Get case on UniCourt
Get details for a specific case
Get case count analytics on UniCourt
Get case count analytics by case type
Get case export callback on UniCourt
Get the file URL for a completed case export
Get case update status on UniCourt
Check the status of a requested case update
Get document order callback on UniCourt
Get the file URL for a completed document order
Get norm attorney on UniCourt
Get analytics and details for a normalized attorney
Get norm judge on UniCourt
Get analytics and details for a normalized judge
Get norm law firm on UniCourt
Get analytics and details for a normalized law firm
Get norm party on UniCourt
Get analytics and details for a normalized party
Get pacer credential on UniCourt
Retrieve current PACER account credentials status
Import case on UniCourt
High-priority case import
Import pacer case on UniCourt
Import a case not in UniCourt via PACER
Order case document on UniCourt
Order a court document
Request case export on UniCourt
Request an export of case data as a ZIP file
Request case update on UniCourt
Request an asynchronous update for a case
Search cases on UniCourt
g., caseName:pfizer). Search for court cases
Search norm attorney on UniCourt
Search for normalized attorneys
Search norm judge on UniCourt
Search for normalized judges
Search norm law firm on UniCourt
Search for normalized law firms
Search norm party on UniCourt
Search for normalized parties
Search pacer case locator on UniCourt
Search PACER directly via Case Locator
Track case on UniCourt
Automatically update cases on a schedule
Track norm attorney on UniCourt
Schedule recurring bar source refreshes for an attorney
Track norm law firm on UniCourt
Schedule recurring source refreshes for a law firm
Update pacer credential on UniCourt
Manage PACER account credentials
Connect UniCourt to OpenAI Agents SDK via MCP
Follow these steps to wire UniCourt into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install the SDK
pip install openai-agents in your Python environmentReplace the token
[YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.comRun the script
python agent.pyExplore tools
Why Use OpenAI Agents SDK with the UniCourt MCP Server
OpenAI Agents SDK provides unique advantages when paired with UniCourt through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
UniCourt + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the UniCourt MCP Server delivers measurable value.
Automated workflows: build agents that query UniCourt, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries UniCourt, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through UniCourt tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query UniCourt to resolve tickets, look up records, and update statuses without human intervention
Example Prompts for UniCourt in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with UniCourt immediately.
"Search for court cases with the keyword 'Apple Inc' and sort by filing date."
"Set up automated tracking for case ID 1205934 with a daily refresh."
"Get the professional analytics for attorney ID ATTY-98765."
Troubleshooting UniCourt MCP Server with OpenAI Agents SDK
Common issues when connecting UniCourt to OpenAI Agents SDK through Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
UniCourt + OpenAI Agents SDK FAQ
Common questions about integrating UniCourt MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
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