Convertlab MCP Server for OpenAI Agents SDK 8 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Convertlab 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="Convertlab Assistant",
instructions=(
"You help users interact with Convertlab. "
"You have access to 8 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Convertlab"
)
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 Convertlab MCP Server
Empower your AI agent to orchestrate your marketing operations with Convertlab (DM Hub), the leading customer engagement and marketing automation platform in China. By connecting Convertlab to your agent, you transform complex customer segmentation, campaign tracking, and behavioral auditing into a natural conversation. Your agent can instantly list customers, retrieve detailed profile information, monitor marketing campaigns, and browse behavioral events without you ever needing to navigate the comprehensive DM Hub interface. Whether you are conducting a customer data audit or monitoring the performance of a high-volume campaign, your agent acts as a real-time marketing operations assistant, keeping your data accurate and your engagement moving.
The OpenAI Agents SDK auto-discovers all 8 tools from Convertlab through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Convertlab, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Customer Orchestration — List all DM Hub customers and retrieve detailed profile and membership information.
- Campaign Management — Browse active and historical marketing campaigns and retrieve detailed performance metadata.
- Event Auditing — List and retrieve detailed customer behavioral events to monitor engagement levels.
- Segmentation Control — Browse membership groups and identify customer segments for targeted activities.
- Operations Insights — Retrieve metadata about your marketing touchpoints and application status.
The Convertlab MCP Server exposes 8 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 Convertlab to OpenAI Agents SDK via MCP
Follow these steps to integrate the Convertlab 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 8 tools from Convertlab
Why Use OpenAI Agents SDK with the Convertlab MCP Server
OpenAI Agents SDK provides unique advantages when paired with Convertlab 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
Convertlab + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Convertlab MCP Server delivers measurable value.
Automated workflows: build agents that query Convertlab, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Convertlab, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Convertlab tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Convertlab to resolve tickets, look up records, and update statuses without human intervention
Convertlab MCP Tools for OpenAI Agents SDK (8)
These 8 tools become available when you connect Convertlab to OpenAI Agents SDK via MCP:
create_customer
Create a new customer
get_campaign
Get campaign details
get_customer
Get customer details
list_campaigns
List marketing campaigns
list_customers
List DM Hub customers
list_events
List marketing events
list_member_groups
List customer segments
list_touchpoints
List marketing touchpoints
Example Prompts for Convertlab in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Convertlab immediately.
"List all my DM Hub customers."
"Show me the details for campaign 'Spring-2026'."
"List all customer segmentation groups."
Troubleshooting Convertlab MCP Server with OpenAI Agents SDK
Common issues when connecting Convertlab to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Convertlab + OpenAI Agents SDK FAQ
Common questions about integrating Convertlab 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 Convertlab with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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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 Convertlab to OpenAI Agents SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.