CUFinder MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 13 tools to Bulk Enrich, Check Cufinder Status, Enrich Linkedin, and more
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect CUFinder through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
Ask AI about this App Connector for OpenAI Agents SDK
The CUFinder app connector for OpenAI Agents SDK is a standout in the Productivity category — giving your AI agent 13 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="CUFinder Assistant",
instructions=(
"You help users interact with CUFinder. "
"You have access to 13 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from CUFinder"
)
print(result.final_output)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About CUFinder MCP Server
Connect your CUFinder business intelligence account to any AI agent and simplify how you discover professional domains, enrich company metadata, and identify decision makers through natural conversation.
The OpenAI Agents SDK auto-discovers all 13 tools from CUFinder through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries CUFinder, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Domain Discovery — Find the primary web domain for any company using only its trade name via AI.
- Company Intelligence — Retrieve detailed metadata including industry, location, and estimated annual revenue for specific domains.
- Employee Prospecting — List known employees and key decision makers associated with a company domain.
- LinkedIn Enrichment — Fetch detailed contact info and professional data from specific LinkedIn profile URLs.
- Lead Qualification — Verify company size and financial standing to prioritize your sales outreach.
- Data Accuracy — Enhance your CRM records with verified real-time data directly from the agent.
The CUFinder MCP Server exposes 13 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 13 CUFinder tools available for OpenAI Agents SDK
When OpenAI Agents SDK connects to CUFinder through Vinkius, your AI agent gets direct access to every tool listed below — spanning lead-enrichment, company-intelligence, b2b-data, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Bulk enrich
Verify connectivity
Enrich LinkedIn profile
Find company domain
Find email address
Find employees
Find phone number
Get account info
Get company info
Get company revenue
Get social profiles
Get tech stack
Verify email
Connect CUFinder to OpenAI Agents SDK via MCP
Follow these steps to wire CUFinder into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install the SDK
pip install openai-agents in your Python environmentReplace the token
[YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.comRun the script
python agent.pyExplore tools
Why Use OpenAI Agents SDK with the CUFinder MCP Server
OpenAI Agents SDK provides unique advantages when paired with CUFinder through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
CUFinder + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the CUFinder MCP Server delivers measurable value.
Automated workflows: build agents that query CUFinder, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries CUFinder, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through CUFinder tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query CUFinder to resolve tickets, look up records, and update statuses without human intervention
Example Prompts for CUFinder in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with CUFinder immediately.
"Find the domain for the company 'Acme Global Solutions'."
"Show me the employees and decision makers for 'apple.com'."
"Enrich the data from this LinkedIn URL: 'https://linkedin.com/in/stevejobs'."
Troubleshooting CUFinder MCP Server with OpenAI Agents SDK
Common issues when connecting CUFinder to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
CUFinder + OpenAI Agents SDK FAQ
Common questions about integrating CUFinder MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.