How to Use the Snov.io MCP in OpenAI Agents SDK
Build production agents that find contacts and verify emails using OpenAI Agents SDK.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Snov.io MCP to OpenAI Agents SDK
Create your Vinkius account to connect Snov.io to OpenAI Agents SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.
Key Capabilities
Search domains for contact info
The `domain_search` tool lets your agent check a domain's public record. It figures out potential email patterns so you can start prospecting right away. You won't waste time guessing addresses. You just feed it the company website, and the MCP Server runs through known formats to pinpoint where people work.
Verify emails in a production agent system
Use `email_verifier` to confirm if an email address is actually live. This tool checks deliverability rates before you send anything out, saving you bounce costs. It gives you confidence the data is good—it doesn't just guess; it validates whether a mailbox exists. You keep your campaigns clean and targeted.
Manage prospect lists with MCP Server
The `add_prospect` tool lets your agent build out lead lists instantly. It takes raw data points and turns them into structured, usable contacts within Snov.io. Don't deal with spreadsheets manually. Your AI client handles the cleanup and entry for you, keeping your list clean from day one.
Set up Snov.io MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all Snov.io tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Snov.io tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Snov.io tools and returns structured results. Copy the full example on the right to get started.
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="Snov.io Agent",
instructions="You have access to Snov.io 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 Snov.io. 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.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Snov.io MCP in OpenAI Agents SDK
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