How to Use the CUFinder MCP in OpenAI Agents SDK

Plug CUFinder into your OpenAI Agents SDK pipeline to pull verified B2B contact data directly into your production agent workflow.

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Connect CUFinder MCP to OpenAI Agents SDK

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

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Automate B2B lead enrichment in OpenAI Agents SDK

Feed raw LinkedIn URLs or company names into your agent to get immediate, verified contact details. You call `enrich_linkedin` or `find_email` within your logic to turn incomplete records into actionable lead data. Your agent handles the heavy lifting by passing data through the `bulk_enrich` tool. This keeps your pipeline moving without manual lookups or data entry errors.

Verify target company data with OpenAI Agents SDK

Stop guessing if a prospect is a match by using `get_company_info` and `get_company_tech` to pull their actual stack and revenue. Your agent checks this data against your internal criteria before proceeding. Validating contact information happens instantly using `verify_email`. You ensure your outreach lists stay clean by rejecting dead addresses before they hit your CRM.

Manage your MCP Server connection in Python

The setup requires an `MCPServerStreamableHttp` instance passed directly into your agent constructor. This MCP Server auto-discovers all 13 tools, making them ready for immediate execution. Performance stays high when you set `cacheToolsList=True` in your configuration. This prevents unnecessary round trips while your agent executes complex prospecting tasks.

Setup guide

Set up CUFinder 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 CUFinder tools at runtime.
3

Create your Agent

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

Run the agent

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

Install the necessary packages and wrap the server connection in an `MCPServerStreamableHttp` object. Provide this as an argument to your agent constructor to let it call tools like `find_phone` or `get_account`.

Yes, the SDK natively maps the JSON output from tools to its internal state. You can pass the results of `find_employees` directly into your next agent step.

It provides 13 specific tools covering everything from domain lookup to revenue checks. Your agent gains the ability to resolve missing company data points on demand.

Vinkius handles the transport layer with ephemeral, authenticated endpoints. Your agent only touches the B2B contact records and company metadata returned by the tools.

The server returns a structured error response that your agent can catch. You should implement standard try-except blocks around your tool invocations.

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