How to Use the Justia Legal Intelligence MCP in OpenAI Agents SDK

Q: How do I query Justia Legal Intelligence using the OpenAI Agents SDK?

You initialize the server via MCPServerStreamableHttp and pass it to your agent constructor. The tools are auto-discovered, allowing your agent to call them whenever it needs legal data.

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Connect Justia Legal Intelligence MCP to OpenAI Agents SDK

Create your Vinkius account to connect Justia Legal Intelligence 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.

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Setup Justia Legal Intelligence with OpenAI Agents SDK

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Search case law with OpenAI Agents SDK

Your agent queries live legal databases using `search_legal_cases` to pull relevant precedents. It retrieves specific case summaries while maintaining the tracing logic required for your production agent system. You get reliable data directly in your pipeline. The tool provides the raw case text so your guardrails can validate the output before any client sees it.

Retrieve state statutes in your agent flow

The `get_state_statutes` tool fetches current laws for any US state. Your OpenAI Agents SDK workflow handles the logic while the server manages the connection to the legal index. This keeps your research grounded in verified statutes. You avoid manual lookups by feeding these results straight into your agent's reasoning loop.

Deploy MCP Server tools with safety

The MCP Server connects to your agent via a simple HTTP context manager. You keep full control over when the agent triggers a legal search. It works within your existing agent setup without extra configuration. You define the tool access and let the system handle the request-response cycle.

Setup guide

Set up Justia Legal Intelligence MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Justia Legal Intelligence tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Justia Legal Intelligence tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Justia Legal Intelligence tools and returns structured results. Copy the full example on the right to get started.

agent.py

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="Justia Legal Intelligence Agent",
            instructions="You have access to Justia Legal Intelligence tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Justia Legal Intelligence MCP in OpenAI Agents SDK

You initialize the server via `MCPServerStreamableHttp` and pass it to your agent constructor. The tools are auto-discovered, allowing your agent to call them whenever it needs legal data.

Yes, all tool calls are tracked through the standard OpenAI dashboard. This gives you full visibility into the queries your agent makes.

The server is built for async execution. You use an async context manager to ensure your agent doesn't block while waiting for case data.

You can filter the tool list before passing it to your agent. This restricts the agent to only the functions you choose to expose.

The server operates in a zero-trust sandbox. It only touches public case law and statutes, ensuring no private client data is exposed during the search process.

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