How to Use the Anura MCP in OpenAI Agents SDK

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Connect Anura MCP to OpenAI Agents SDK

Create your Vinkius account to connect Anura 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 Anura with OpenAI Agents SDK

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Real-time fraud defense for OpenAI Agents SDK

The `get_system_status` tool gives your agent a direct line to your fraud monitoring infrastructure. It pulls the current health of your traffic filters so the agent knows exactly when to flag suspicious actors. Your production pipeline needs this constant visibility. By checking the pulse of your traffic via this MCP server, your agent avoids making decisions based on stale data.

Automated traffic validation

Your agent uses `get_system_status` to verify visitor integrity before finalizing any ad-spend decisions. It acts as a gatekeeper, ensuring only legitimate human traffic triggers your high-value actions. Instead of manual audits, your agent handles the heavy lifting. It queries the server, interprets the response, and adjusts its behavior based on the live security posture.

Safety constraints via MCP server

You can wrap your agent actions with Anura checks to maintain strict security boundaries. This keeps your automated workflows honest by preventing interactions with known bot networks. Since this MCP server works natively with your SDK, you get full tracing of every security check. You will see exactly how your agent handles fraud reports in your dashboard.

Setup guide

Set up Anura 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 Anura tools at runtime.
3

Create your Agent

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

Run the agent

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

Use the MCPServerStreamableHttp class to point your agent at your Vinkius endpoint. Wrap the connection in an async context manager and pass it to the agent constructor to enable the tools.

Yes. Your agent calls the status tool to get the latest data and makes logic-based decisions based on the output. It handles the response just like any other function call.

No. The SDK auto-discovers the tool once you pass the server to the constructor. You just need to trigger the function when you need a fraud check.

Minimal. Set cacheToolsList to True to keep your agent snappy and responsive during high-traffic operations.

Anura only processes traffic metadata and IP-based signals to detect bot patterns. Your sensitive user records stay off the server, and all communication is encrypted in transit.

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