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How to Use the InvestorLift MCP in OpenAI Agents SDK

Plug InvestorLift into your OpenAI Agents SDK pipeline to automate deal discovery and seller outreach with production-ready guardrails.

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OpenAI Agents SDK

Connect InvestorLift MCP to OpenAI Agents SDK

Create your Vinkius account to connect InvestorLift 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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Automate your InvestorLift deal flow

Stop manual scrubbing. Use `list_deals` to pull active inventory directly into your agent's context. Your agent processes these results against your specific investment parameters without human intervention. Once a match hits your criteria, the agent triggers `send_message` to initiate contact. You gain speed without sacrificing the logic required to filter out bad assets.

Sync your buy box with OpenAI Agents

Keep your acquisition strategy current by calling `get_buy_box` to verify active targets. If the market shifts, execute `update_buy_box` to pivot your focus instantly. This keeps your agent aligned with your actual investment goals. It prevents the agent from chasing deals that no longer fit your portfolio requirements.

Deep-dive into specific InvestorLift assets

Run `get_deal` whenever your agent flags a high-potential property. This pulls the granular data needed to build a precise underwriting model. Your agent gets the full picture before it ever reaches out to a seller. It ensures your outreach is based on accurate numbers, not generic assumptions.

Setup guide

Set up InvestorLift 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. 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. 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 InvestorLift tools at runtime.

  3. 3

    Create your Agent

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

  4. 4

    Run the agent

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

asyncio.run(main())

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by InvestorLift. 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 InvestorLift MCP in OpenAI Agents SDK

You initialize the server via `MCPServerStreamableHttp` using the provided endpoint URL. Pass the server instance into your agent's constructor to enable auto-discovery. It handles the connection logic asynchronously.
Yes. The SDK enforces guardrails that validate tool outputs before execution. You define the constraints, and the system blocks any action that falls outside your safety parameters.
This server touches your deal marketplace inventory, buy box criteria settings, and outgoing seller messages. It only interacts with the specific endpoints you invoke through your agent code.
It is safe if you implement proper logic. You should wrap your `send_message` calls in agentic workflows that require human approval for high-stakes outreach.
It does. Set `cacheToolsList=True` when configuring your server to improve performance. This minimizes redundant calls when your agent is making multiple decisions in a single session.

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