CUFinder MCP Server for AutoGenGive AutoGen instant access to 13 tools to Bulk Enrich, Check Cufinder Status, Enrich Linkedin, and more
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add CUFinder as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
Ask AI about this App Connector for AutoGen
The CUFinder app connector for AutoGen 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 autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="cufinder_agent",
tools=tools,
system_message=(
"You help users with CUFinder. "
"13 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use CUFinder tools. Connect 13 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen
When AutoGen 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 AutoGen via MCP
Follow these steps to wire CUFinder into AutoGen. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install AutoGen
pip install "autogen-ext[mcp]"Replace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenIntegrate into workflow
Explore tools
Why Use AutoGen with the CUFinder MCP Server
AutoGen provides unique advantages when paired with CUFinder through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use CUFinder tools to solve complex tasks
Role-based architecture lets you assign CUFinder tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive CUFinder tool calls
Code execution sandbox: AutoGen agents can write and run code that processes CUFinder tool responses in an isolated environment
CUFinder + AutoGen Use Cases
Practical scenarios where AutoGen combined with the CUFinder MCP Server delivers measurable value.
Collaborative analysis: one agent queries CUFinder while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from CUFinder, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using CUFinder data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process CUFinder responses in a sandboxed execution environment
Example Prompts for CUFinder in AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting CUFinder to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"CUFinder + AutoGen FAQ
Common questions about integrating CUFinder MCP Server with AutoGen.