Convertlab MCP. Audit customer data and campaign performance via chat.
Works with every AI agent you already use
…and any MCP-compatible client
Just plug in your AI agents and start using Vinkius.
Convertlab MCP Server. Manage customer data, campaigns, and events directly through your AI agent. This server lets you list customers, check campaign performance, and audit behavioral events without navigating the DM Hub interface.
It turns complex marketing operations into a simple conversation for your AI client.
What your AI agents can do
Create customer
Adds a new user record to the Convertlab database.
Get campaign
Retrieves detailed performance data for a specific marketing campaign.
Get customer
Fetches the complete profile and membership status for one customer.
Your agent can call create_customer to add a new user profile to the system.
The agent runs get_campaign to pull performance data for a named campaign.
Using get_customer, your agent retrieves a full profile and membership history for a single user ID.
The agent uses list_customers to get a full roster of all DM Hub members.
The agent executes list_campaigns to see a list of all available campaigns and their metadata.
The agent runs list_events to pull a chronological list of customer behavioral events.
The agent uses list_member_groups to see and identify specific membership groups.
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Supported MCP Clients
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Convertlab MCP Server: 8 Tools for Marketing Operations
These 8 tools let your AI agent orchestrate everything from creating customer records to auditing complex behavioral events.
019d8429create customer
Adds a new user record to the Convertlab database.
019d8429get campaign
Retrieves detailed performance data for a specific marketing campaign.
019d8429get customer
Fetches the complete profile and membership status for one customer.
019d8429list campaigns
Returns a list of all available marketing campaigns and their status.
019d8429list customers
Gets a complete list of every customer in the DM Hub.
019d8429list events
Lists a customer's behavioral events, showing when and what they did.
019d8429list member groups
Lists all defined customer segmentation groups.
019d8429list touchpoints
Lists the recorded marketing touchpoints for auditing purposes.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with Convertlab, then connect any of our 4,700+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 4,700+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
What you can do with this MCP connector
You'll manage your customer data and marketing campaigns straight through your AI agent. This server lets your agent list customers, check campaign performance, and audit behavioral events without you having to touch the DM Hub interface. Your agent turns complex marketing operations into a simple conversation. You can use create_customer to add a new user profile to the system.
To get specific campaign performance data, your agent runs get_campaign for a named campaign. You can fetch a full profile and membership history for a single user ID using get_customer. Need to see who you've got? Your agent uses list_customers to get a full roster of all DM Hub members.
You can execute list_campaigns to see a list of all available campaigns and their metadata. You can audit a customer's engagement history by running list_events to pull a chronological list of customer behavioral events. Want to narrow down your audience? Your agent uses list_member_groups to see and identify specific membership groups.
Finally, you can list all recorded marketing touchpoints for auditing purposes using list_touchpoints.
How Convertlab MCP Works
- 1 First, subscribe to the Convertlab server and enter your required App ID and App Secret.
- 2 Next, prompt your AI client (Claude, Cursor, etc.) to perform an action, like 'List all customers in the 'VIP' group.'
- 3 The agent translates that request into the necessary tool calls (
list_member_groupsthenlist_customers), fetches the data, and gives you a readable summary.
The bottom line is, you manage your marketing data by talking to your AI agent instead of clicking through dashboards.
Who Is Convertlab MCP For?
Marketing managers, Customer Success leads, and Operations personnel. This is for the person who spends too much time copying data between CRM dashboards and spreadsheets. If your job involves auditing customer behavior or tracking campaign performance, this saves you hours of clicking.
Checks campaign performance across multiple segments by asking the agent to run list_campaigns and then list_member_groups to narrow the focus.
Needs to quickly verify a member's full history—where they signed up, what campaigns they saw, and what events they triggered—by calling get_customer and list_events.
Oversees marketing touchpoints and system health by listing all available touchpoints (list_touchpoints) and ensuring data accuracy via list_customers.
What Changes When You Connect
- Audit customer activity instantly. Instead of going into the event log dashboard, just ask your agent to run
list_eventsto see a user's entire behavioral history. - Stop guessing campaign performance. Use
list_campaignsandget_campaignto pull precise metrics and metadata for any active or past campaign. - Keep customer data clean. Use
list_customersandget_customerto get a single, unified view of a user's profile and membership status. - Target people better. Run
list_member_groupsto see all defined segments. You can then use this list to guide your agent in finding specific customer cohorts. - Streamline ops monitoring. Use
list_touchpointsto quickly review all marketing touchpoints and system status metadata without navigating the full platform. - Add new records easily. If you find a missing user, the agent can run
create_customerto add them right from the conversation.
Real-World Use Cases
Verifying a high-value customer's journey
A Customer Success Lead needs to know everything about John Doe. They ask the agent: 'What is John Doe's full profile and what events has he triggered?' The agent uses get_customer and then list_events to compile a complete, chronological report.
Reviewing a campaign's effectiveness
A Marketing Manager wants to know why the 'Spring-2026' campaign is underperforming. They ask the agent to run get_campaign and then list_member_groups to see if the segment targeting was too narrow. The agent returns the performance data and segment list.
Auditing segmentation strategy
An Ops Lead needs to confirm all existing user segments. They prompt the agent to list_member_groups. After seeing the list, they ask to find all customers in the 'Inactive-30-Days' group using list_customers filtered by the segment data.
Onboarding a new client record
The agent helps onboard a new client. The user asks, 'Create a new customer record for Jane Smith.' The agent uses create_customer and then list_touchpoints to ensure the initial data capture and system status are correctly logged.
The Tradeoffs
Treating tools as a single data dump
Just calling list_customers and expecting it to contain campaign performance metrics, event logs, and member group data all in one flat output. The tool only gives the list of customers.
→
Don't expect one tool to do everything. Use a multi-step query: First, list_customers to get IDs. Second, use get_customer for a deep dive on a specific ID. Third, run list_events or list_member_groups to pull the related context.
Missing the core customer ID
Asking the agent, 'What was the performance of the last campaign?' without specifying which campaign or which customer group. The agent can't run get_campaign without a target ID.
→
Be specific. Always use list_campaigns first to get the campaign name, and then use get_campaign with that name. If you need customer context, start with list_customers or list_member_groups.
Trying to manually deduplicate data
The agent gives you data from list_customers and list_events, and you try to manually write code to find discrepancies. This is brittle and time-consuming.
→
Use the agent to build the query. Ask it to 'Compare the customers listed via list_customers against the profiles from list_events to find gaps.' The agent handles the data comparison logic for you.
When It Fits, When It Doesn't
Use this server if your workflow requires correlating customer identity (via list_customers / get_customer) with marketing activity (via list_campaigns / get_campaign) and behavioral outcomes (via list_events / list_member_groups). It's best for people who need to audit marketing funnel health. Don't use it if you only need to check a single, isolated piece of data, like checking one specific system setting—use the native platform UI instead. If your goal is purely data warehousing and complex ETL logic, you'll need to build a separate data governance layer that consumes the output of these tools.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Convertlab. 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.
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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 8 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Manually tracking customer journey data is a massive time sink.
Today, figuring out a customer's full journey means jumping between the main dashboard, the campaign performance tab, the segment list, and the event audit log. You're copying IDs, clicking 'View Details,' and piecing together a timeline in a spreadsheet. It takes hours, and you almost always miss something.
With the Convertlab MCP Server, you just talk to your AI agent. You ask it to 'Show me John Doe's full history.' The agent runs the necessary tools—`get_customer`, `list_events`, and `list_member_groups`—and spits out a single, comprehensive report. Done.
Convertlab MCP Server: Audit marketing data and campaign performance via chat.
You eliminate the need to open five different tabs: the customer roster, the campaign performance page, the segment selector, the touchpoint log, and the event timeline. The agent handles the data calls for all five in one go.
You now treat the entire marketing platform like a single data source that you can query in natural language. It's an operational shift, not just a feature upgrade.
Common Questions About Convertlab MCP
How do I use the `list_customers` tool to find a specific customer? +
The list_customers tool gives you a list of all members. You usually need to use the output of this list to get the specific ID, which you then pass to get_customer for the full profile details.
Can I use `list_events` to see what a customer did on a specific date? +
Yes, you can narrow the scope. When prompting the agent, specify the date range and event type. The agent uses the list_events tool to filter the history for you.
What is the difference between `list_campaigns` and `list_member_groups`? +
list_campaigns shows marketing efforts (like 'Summer Sale 2024'), while list_member_groups shows customer groupings (like 'VIP' or 'Repeat Buyers'). They track different things.
How do I create a new customer using the `create_customer` tool? +
You must provide all required fields (name, email, etc.) in your prompt. The agent executes create_customer and confirms the new record is live in the system.
How do I use `list_touchpoints` to see all my marketing touchpoints? +
The list_touchpoints tool retrieves a catalog of all marketing touchpoints. This lets you see every channel and interaction type recorded in your system, helping you map out the full customer journey.
What is the difference between `list_customers` and `get_customer`? +
Use list_customers to get a list of all DM Hub customers. Then, you use get_customer to pull the full, detailed profile for one specific customer ID.
Can I list customer segments using `list_member_groups`? +
Yes, list_member_groups shows all defined membership groups. You can identify your key customer segments—like 'VIP' or 'New Signups'—before targeting them.
Does `get_campaign` provide historical performance data? +
Yes, get_campaign pulls detailed performance metadata for a specific campaign. It shows metrics like conversion rates and reach across its target touchpoints.
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.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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