Over the past months we shared the vision, the orchestration and governance model, the security architecture, and the user experience behind Unique AI MCP Hub. Now, it's time to see it in action.
The idea behind our MCP Hub is quite simple: you should not have to choose between the AI you want to use and the control your institution requires. Whether your teams work in Claude, GPT, or another AI assistant, the MCP Hub sits underneath as the governed gateway between those interfaces and your enterprise systems. It fits the stack you already have, and it makes the AI you already use both safer and more capable.
One Endpoint Between Your AI and Your Systems
Without a central layer, every AI client connects directly to every back-end system. Credentials get scattered across tools, sensitive systems get exposed to the wrong people, and there is no single place to see what the AI is actually doing.
The MCP Hub replaces that sprawl with a single point of control. You register a system once and publish one stable endpoint. From that moment, your credentials never reach the AI client. The model talks to the Hub, and the Hub talks to your systems, following your rules.
What You Can Connect
The MCP Hub connects to the tools financial services teams already use every day, across four categories :
- Knowledge and collaboration tools, such as Atlassian.
- Communication tools, such as Outlook.
- Business systems, such as your CRM.
- Market systems and data, such as FactSet or an internal risk database.
Each connection is exposed through a Virtual MCP Server: a packaged set of the exact tools you choose to include. You might bundle a risk database and Outlook into a single server, name it, and decide who can access it, with either full management access or connection-only access. The right capabilities end up grouped for the right people, rather than every tool being available to everyone.
Connecting the MCP Hub to Claude (or Any Interface)
Bringing the MCP Hub into Claude, or any other interface, takes a few clicks rather than an integration project. After you build a virtual server in the MCP Hub, you copy its URL, open the connector space in Claude, and add it as a custom connector.
From there, authentication flows through your Unique AI account, carrying over the credentials you are already entitled to use. Where a back-end system requires it, you are prompted to re-authenticate directly (signing in to Outlook, for example) so access always resolves to a real, authorized identity rather than a shared key.
Once connected, the tools appear inside Claude and can be switched on or off per workspace. In a live session, you can ask Claude to pull a fund's positions from a connected risk database, and it returns a consolidated view drawn through the Hub: governed, logged, and scoped to what you are allowed to see.
Security and Governance on Every Call
Behind the convenience sits a layered control model. Every tool call within the Hub passes through six layers of control, from infrastructure and allow-listing down to downstream identity.
Two principles make this concrete. First, each call runs under the individual user's own credentials, so access is never broader than the person making the request. Second, every action is logged with a shared correlation ID, giving compliance a continuous, traceable record from prompt to execution.
For authentication, MCP servers in the Hub can be secured via OAuth 2.0 and connected directly to your organization's identity provider — Microsoft, Okta, or Keycloak — to enforce authentication and data-level access controls. If you prefer a lighter setup, Unique AI's built-in identity provider, Zitadel, works out of the box. Role-based access control, data loss prevention, and data anonymization are next on the roadmap.
Unique AI MCP Hub for Your Team
For the people doing the work, the MCP Hub delivers AI choice: the freedom to use the models your teams prefer without fragmenting your security posture. For IT and compliance, it delivers one governance path instead of many, with credentials contained and every action auditable.
And because it is built to expand, the MCP Hub grows with you as your MCP connections multiply, from a first virtual server to an entire governed ecosystem of agents and tools.
This is the same commitment that has shaped the platform from day one. We secure the workflow so you can empower the workforce.
See it in action. Watch the walkthrough video to see the MCP Hub connect to Claude in real time, or book a demo to map it to your own stack.
Introduction to Unique AI MCP Hub: Your Secure Gateway for Enterprise Systems
Over the past months we shared the vision, the orchestration and governance model, the security architecture, and the user experience behind Unique AI MCP Hub. Now, it's time to see it in action.
The idea behind our MCP Hub is quite simple: you should not have to choose between the AI you want to use and the control your institution requires. Whether your teams work in Claude, GPT, or another AI assistant, the MCP Hub sits underneath as the governed gateway between those interfaces and your enterprise systems. It fits the stack you already have, and it makes the AI you already use both safer and more capable.
One Endpoint Between Your AI and Your Systems
Without a central layer, every AI client connects directly to every back-end system. Credentials get scattered across tools, sensitive systems get exposed to the wrong people, and there is no single place to see what the AI is actually doing.
The MCP Hub replaces that sprawl with a single point of control. You register a system once and publish one stable endpoint. From that moment, your credentials never reach the AI client. The model talks to the Hub, and the Hub talks to your systems, following your rules.
What You Can Connect
The MCP Hub connects to the tools financial services teams already use every day, across four categories :
Each connection is exposed through a Virtual MCP Server: a packaged set of the exact tools you choose to include. You might bundle a risk database and Outlook into a single server, name it, and decide who can access it, with either full management access or connection-only access. The right capabilities end up grouped for the right people, rather than every tool being available to everyone.
Connecting the MCP Hub to Claude (or Any Interface)
Bringing the MCP Hub into Claude, or any other interface, takes a few clicks rather than an integration project. After you build a virtual server in the MCP Hub, you copy its URL, open the connector space in Claude, and add it as a custom connector.
From there, authentication flows through your Unique AI account, carrying over the credentials you are already entitled to use. Where a back-end system requires it, you are prompted to re-authenticate directly (signing in to Outlook, for example) so access always resolves to a real, authorized identity rather than a shared key.
Once connected, the tools appear inside Claude and can be switched on or off per workspace. In a live session, you can ask Claude to pull a fund's positions from a connected risk database, and it returns a consolidated view drawn through the Hub: governed, logged, and scoped to what you are allowed to see.
Security and Governance on Every Call
Behind the convenience sits a layered control model. Every tool call within the Hub passes through six layers of control, from infrastructure and allow-listing down to downstream identity.
Two principles make this concrete. First, each call runs under the individual user's own credentials, so access is never broader than the person making the request. Second, every action is logged with a shared correlation ID, giving compliance a continuous, traceable record from prompt to execution.
For authentication, MCP servers in the Hub can be secured via OAuth 2.0 and connected directly to your organization's identity provider — Microsoft, Okta, or Keycloak — to enforce authentication and data-level access controls. If you prefer a lighter setup, Unique AI's built-in identity provider, Zitadel, works out of the box. Role-based access control, data loss prevention, and data anonymization are next on the roadmap.
Unique AI MCP Hub for Your Team
For the people doing the work, the MCP Hub delivers AI choice: the freedom to use the models your teams prefer without fragmenting your security posture. For IT and compliance, it delivers one governance path instead of many, with credentials contained and every action auditable.
And because it is built to expand, the MCP Hub grows with you as your MCP connections multiply, from a first virtual server to an entire governed ecosystem of agents and tools.
This is the same commitment that has shaped the platform from day one. We secure the workflow so you can empower the workforce.
See it in action. Watch the walkthrough video to see the MCP Hub connect to Claude in real time, or book a demo to map it to your own stack.