How do I find my Convertlab App ID and Secret?

Log in to your Convertlab DM Hub admin portal, go to [Settings] → [App Management], and you will find your App ID and Secret there. Ensure your application has the required API scopes enabled.

Can I see customer behavioral events through this server?

Yes. Use the `list_events` tool to retrieve historical behavioral data from your customers. This is essential for auditing engagement and understanding customer journeys.

Is it possible to monitor campaign performance?

Yes! Use the `list_campaigns` tool to see all active and past marketing campaigns and `get_campaign` with a specific ID to retrieve detailed performance metrics and configuration.

Convertlab MCP Server for CrewAI 8 tools — connect in under 2 minutes

Name: Convertlab
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 8 Tools Framework

Connect your CrewAI agents to Convertlab through Vinkius, pass the Edge URL in the `mcps` parameter and every Convertlab tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Convertlab Specialist",
    goal="Help users interact with Convertlab effectively",
    backstory=(
        "You are an expert at leveraging Convertlab tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Convertlab "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 8 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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* 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.

When paired with CrewAI, Convertlab becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Convertlab tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

Follow these steps to integrate the Convertlab MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 8 tools from Convertlab

Why Use CrewAI with the Convertlab MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Convertlab through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Convertlab + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Convertlab MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Convertlab for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Convertlab, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Convertlab tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Convertlab against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Convertlab MCP Tools for CrewAI (8)

These 8 tools become available when you connect Convertlab to CrewAI 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 CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

Common issues when connecting Convertlab to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Convertlab + CrewAI FAQ

Common questions about integrating Convertlab MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.