Listclean MCP Server for OpenAI Agents SDK 5 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Listclean through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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="Listclean Assistant",
instructions=(
"You help users interact with Listclean. "
"You have access to 5 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Listclean"
)
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 Listclean MCP Server
Connect your Listclean account to any AI agent to automate your email hygiene and deliverability workflows. This MCP server enables your agent to verify single email addresses instantly, process batch validations, and monitor your verification credits directly from natural language interfaces.
The OpenAI Agents SDK auto-discovers all 5 tools from Listclean through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Listclean, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Real-time Verification — Instantly check if an email address is clean, dirty, or risky before sending
- Batch Processing — Validate large lists of email addresses (up to 3,000 per request) efficiently
- History Oversight — Retrieve logs of previously performed single verifications to track your activity
- Credit Management — Monitor your remaining verification credits to ensure uninterrupted service
- Data Quality Audit — Identify catch-all, disposable, and role-based emails to maintain a high-quality contact list
The Listclean MCP Server exposes 5 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.
How to Connect Listclean to OpenAI Agents SDK via MCP
Follow these steps to integrate the Listclean MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 5 tools from Listclean
Why Use OpenAI Agents SDK with the Listclean MCP Server
OpenAI Agents SDK provides unique advantages when paired with Listclean 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
Listclean + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Listclean MCP Server delivers measurable value.
Automated workflows: build agents that query Listclean, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Listclean, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Listclean tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Listclean to resolve tickets, look up records, and update statuses without human intervention
Listclean MCP Tools for OpenAI Agents SDK (5)
These 5 tools become available when you connect Listclean to OpenAI Agents SDK via MCP:
check_account_credits
Check remaining verification credits
get_account_profile
Get account profile details
get_verification_logs
Retrieve logs of previously verified single emails
verify_batch_emails
Maximum recommended size is 3,000 per request. Verify multiple email addresses in one batch
verify_single_email
Requires a single email string. Verify a single email address in real-time
Example Prompts for Listclean in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Listclean immediately.
"Verify the email address 'test@example.com' in Listclean."
"Show my recent email verification logs."
"How many verification credits do I have left?"
Troubleshooting Listclean MCP Server with OpenAI Agents SDK
Common issues when connecting Listclean to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Listclean + OpenAI Agents SDK FAQ
Common questions about integrating Listclean 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.Does the SDK support streaming responses?
Connect Listclean with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Listclean to OpenAI Agents SDK
Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.