Your clients already ask ChatGPT, Claude and Grok for help every day. A white label MCP connector lets those assistants do more than answer questions. They can search contacts, launch campaigns, book appointments and send invoices inside your client's business, under your brand instead of a software vendor's.
What is a white label MCP connector?
MCP, the Model Context Protocol, is an open standard that AI assistants use to call external tools. A connector, technically an MCP server, is the endpoint that exposes a business's tools to the assistant. "White label" means the connector, the platform behind it and the customer relationship all carry your brand, your domain and your pricing.
In SuperStack OS, the White-Label plan includes a white-labeled MCP server, so each client sub-account can have its own MCP endpoint that you deliver as part of your service. If you want the fundamentals first, read our plain-English guide to what MCP is and why it matters for business.
Why agencies and consultants should offer one
- Differentiation. Most agencies sell dashboards and reports. You sell an assistant that can take action.
- Recurring revenue. Connector access rides on the monthly platform subscription you already resell.
- Stickiness. Once a client's team runs daily work through an assistant connected to their own data, switching gets harder.
- No new interface to learn. Clients use the AI client they already have open.
What your client actually experiences
Instead of logging into five tools, the client opens their AI assistant and types plain language requests such as:
- "Show me every lead from last week who has not booked yet."
- "Draft a campaign for dormant customers and hold it for my approval."
- "Create an invoice for the Harper account and text them the payment link."
The assistant calls the connector's tools, receives structured results and reports back. Sensitive actions can require a human approval before they run.
What can sit behind the connector
- Contacts and pipelines: search, tag and move deals
- Email, SMS and social campaigns
- No-code automations and customer journeys
- Voice AI agents that answer, book and follow up
- Stripe invoices and commerce
- Apple and Google Wallet passes for loyalty and memberships
- Content creation for copy, images and video scripts
Everything shares one data model, so a single request can span several of these tools at once.
Security and control
Each client gets scoped API keys, so you decide which tools and contacts an assistant may touch. Tool calls are permission-scoped, rate-limited and logged to the contact timeline and audit log. You can revoke a client's access instantly, and separate sub-accounts keep each client's data apart.
How to launch your white label connector
- Start on the White-Label plan and set your domain, logo, colors and pricing.
- Build a snapshot: a template account with your agents, automations and pipelines.
- Create a client sub-account from that snapshot.
- Generate a scoped API key and choose which tools the assistant can use.
- Give the client their endpoint and setup steps for their AI client.
- Run a first request together and turn on approvals for sensitive actions.
Setup steps differ by AI client and plan, because each assistant decides how it supports MCP servers. We recommend testing the connector in the exact client your customer uses before you sell it.
Frequently asked questions
Do my clients need to know SuperStack OS is behind the connector?
On the White-Label plan your domain, logo and pricing front the platform, so the client relationship stays with you.
Which AI assistants can use the connector?
Any client that supports MCP servers. SuperStack OS is built for ChatGPT, Claude and Grok, and works with other MCP clients such as Cursor.
Can I limit what the assistant is allowed to do?
Yes. You choose the tools and contacts each key can reach, decide which actions run automatically and which need approval, and can revoke access at any time.