How to Use the BCLaws API MCP in OpenAI Agents SDK

Q: Can the BCLaws API handle batch lookups in OpenAI Agents SDK?

Yes, your agent can loop through multiple getbcstatute calls. It handles these operations sequentially within your async context manager.

Audit British Columbia statutes directly within your OpenAI Agents SDK production pipeline.

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Connect BCLaws API MCP to OpenAI Agents SDK

Create your Vinkius account to connect BCLaws API 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 BCLaws API with OpenAI Agents SDK

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Verify BCLaws API status in OpenAI Agents SDK

Call `check_api_status` to confirm the endpoint is live before triggering downstream logic. It prevents your agent from attempting queries against a down server, saving you from wasted cycles. Your production agent monitors the connection health automatically. If the service drops, your code catches the failure immediately.

Retrieve regulations using OpenAI Agents SDK

Fetch specific text using `get_bc_regulation` to feed your agent precise legal context. You avoid manual lookups by letting the agent pull the exact section required for its task. This tool feeds data directly into your agent's memory buffer. It ensures the model works with current text rather than stale training data.

Search statutes via OpenAI Agents SDK

Run `search_bc_laws` to scan the BCLaws database for relevant keywords. Your agent identifies the right statute without you needing to know the specific citation beforehand. This MCP Server provides the raw content for your agent to summarize. It keeps your logic tight and focused on the search results.

Setup guide

Set up BCLaws API 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 BCLaws API tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate BCLaws API 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="BCLaws API Agent",
            instructions="You have access to BCLaws API 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 BCLaws API MCP in OpenAI Agents SDK

You instantiate the MCPServerStreamableHttp class with your server URL. Pass it into the Agent constructor, and the tools appear automatically.

Yes, your agent can loop through multiple `get_bc_statute` calls. It handles these operations sequentially within your async context manager.

No manual mapping is needed. The SDK discovers every tool in the BCLaws API definition at runtime.

Enable cacheToolsList in your setup. This keeps the tool discovery process snappy during high-frequency agent requests.

We only touch public legal records from the provincial database. No user-provided data leaves your infrastructure during these requests.

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