How to Use the LeadsRx MCP in OpenAI Agents SDK

Q: How do I set up the LeadsRx MCP Server inside my OpenAI Agents SDK project?

Install openai-agents and initialize your MCP connection using your Vinkius endpoint. Pass this server instance inside the mcpservers list when instantiating your OpenAI Agents SDK agent to automatically discover tools like listcampaigns.

Q: How does the LeadsRx toolset handle agent execution tracing in OpenAI Agents SDK?

Every tool invocation, such as calling getconversiondetails, is recorded in the OpenAI developer dashboard. You see the exact input parameters the OpenAI Agents SDK passed and the raw JSON payload returned by the server.

Q: How do I limit which LeadsRx advertisers my OpenAI Agents SDK can access?

Use listadvertisers to verify the connected accounts inside your OpenAI Agents SDK system prompt. You can configure your agent's instructions to restrict its operations to specific advertiser IDs returned by this tool.

Get real-time LeadsRx attribution data directly into your OpenAI Agents SDK pipelines to adjust your ad spend automatically.

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Connect LeadsRx MCP to OpenAI Agents SDK

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

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Map LeadsRx touchpoints in OpenAI Agents SDK

The `list_touchpoints` tool exposes every customer interaction across your marketing stack directly to your OpenAI Agents SDK agent. This integration lets your OpenAI Agents SDK verify user journeys without manual exports or custom API writing. Your OpenAI Agents SDK uses `get_touchpoint_details` to inspect specific ad clicks or email opens. With OpenAI's built-in guardrails, you can set rules to prevent the agent from acting on incomplete touchpoint profiles returned by the LeadsRx server.

Track LeadsRx conversions with OpenAI Agents SDK

The `add_conversion` tool registers new purchase events and sign-ups directly through this MCP Server into your LeadsRx dashboard. Your OpenAI Agents SDK monitors these events by querying `list_conversions` to detect sudden drops. Tracking details are traced by the SDK, giving you a clear audit trail of every LeadsRx conversion added by the agent. You can view the exact input parameters the agent passed to the LeadsRx API in the OpenAI dashboard.

Analyze LeadsRx campaign results via OpenAI Agents SDK

The `get_campaign_results` tool pulls live attribution metrics for any active LeadsRx campaign directly into your OpenAI Agents SDK runtime. Your OpenAI Agents SDK agent reads this data to calculate your current return on ad spend automatically. When performance dips, the OpenAI Agents SDK calls `list_campaigns` to find underperforming ad sets. It then flags these LeadsRx campaigns for budget adjustments inside your OpenAI Agents SDK environment.

Setup guide

Set up LeadsRx 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 LeadsRx tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate LeadsRx 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="LeadsRx Agent",
            instructions="You have access to LeadsRx tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by LeadsRx. 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.

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Common questions about LeadsRx MCP in OpenAI Agents SDK

Install `openai-agents` and initialize your MCP connection using your Vinkius endpoint. Pass this server instance inside the `mcp_servers` list when instantiating your OpenAI Agents SDK agent to automatically discover tools like `list_campaigns`.

Yes, the OpenAI Agents SDK handles handoffs while maintaining access to LeadsRx tools like `get_campaign_results`. You can have one agent query the results and hand off the task to a budget-adjusting agent.

Every tool invocation, such as calling `get_conversion_details`, is recorded in the OpenAI developer dashboard. You see the exact input parameters the OpenAI Agents SDK passed and the raw JSON payload returned by the server.

Use `list_advertisers` to verify the connected accounts inside your OpenAI Agents SDK system prompt. You can configure your agent's instructions to restrict its operations to specific advertiser IDs returned by this tool.

Your LeadsRx conversion and touchpoint data stays inside the Vinkius V8 sandbox, meaning your OpenAI Agents SDK only sees the data returned by tools like `get_conversion_details` without exposing raw credentials. This setup prevents leaks while allowing the SDK to run secure queries.

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