CI HUB MCP Server: Enterprise AI Access. Governed, Secure & Compliant.

Empower your organization to connect trusted AI tools like ChatGPT, Gemini, or Claude directly to your DAM without losing control of your data.
Part of Bright, CI HUB’s new suite of AI tools, our MCP Server will turn your DAM into a secure AI access layer that IT can govern, audit, and scale across the enterprise!

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The Governance Layer for AI + DAM

AI is helping teams work faster and smarter but has created a governance challenge. Employees copy and paste assets into LLMs or share potentially outdated brand materials in unapproved tools, creating compliance and security risks.

The CI HUB MCP Server eliminates “Shadow AI” by providing secure, permission-based AI access to DAM assets. Now, your AI clients get the context they need, while your IT team keeps full control!

75 %

Percentage of API gateway vendors which will support MCP features by 2026, according to Gartner.

38 %

Percentage of employees who share confidential data with AI platforms without approval, according to industry reports.

How it Works

With CI HUB MCP Server, every AI request flows through a governed access layer between your DAM and your AI chat client.

An employee can ask, “Show me all approved product shots tagged for sustainability,” and your approved AI retrieves only up-to-date assets the user is authorized to see.

Actions like summarizing, renaming, or moving assets all occur within your company’s compliance framework. Every request is logged and auditable in the DAM, and if a user loses DAM access, the AI does too.

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Benefits

Transform your DAM into an AI-powered brain

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access

AI that knows your brand

Your AI chats directly with your DAM, finding approved & up-to-date assets.

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Integration

Securely Governed

Every action follows your organization’s DAM permission rules, so the AI only accesses what it should.

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Synchronization

Wide Compatibility

Works seamlessly with ChatGPT, Gemini, Claude, or any MCP-compatible client.

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consolidation

Contextual Knowledge

AI that understands your brand language, context and 'why' for better results.

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Referencing

Instant Access

No more switching tabs or searching in drives. Your assets appear in seconds, right in your chat.

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Centralize

Scalable

From a single brand team to global enterprise rollout. Deploy anywhere, anytime.

FAQs

Do you have questions?
We have the answers

Any client that supports MCP (e.g. ChatGPT, Gemini, Claude, custom agents).

No, they can only has access assets which the current user is permitted to see. If you lose permission, AI loses access.

The MCP Server enables seamless interaction between DAM systems and connected AI tools directly though chat, offering a set of actions to the user.

Core system actions include handling provider selection, brand configuration, and file-to-text conversion for AI processing.

Asset management actions enable users to search, upload (via URL), delete, rename, move, download, and manage asset versions with simple prompts.

Folder management actions allow users to browse, create, delete, rename, and move folders within the DAM structure.

Batch operations significantly improve use efficiency by allowing multiple actions. These include creating folders, renaming assets, or deleting files in a single request, reducing the number of steps required (with up to 10 actions per batch).

Each user authenticates their DAM User account via CI HUB before their AI can access any assets in the DAM. Each DAM user (or user group) permissions are applied automatically to the AI, or the AI Agent being used. If a DAM admin changes the access permissions or a user or group (expand, restrict, or completely remove), the changes are reflected for the AI instantly as well. No doubling up on managing access in another system.

Users can add several DAMs at the same time to the MCP Server. They will need to authenticate in each one individually once, and then each system’s permissions are respected at all times from then on.

Users can ask their AI to access individual DAMs only (even if it has access to several), or access several of them in succession. Users can also switch which systems they want to have authenticated when they disconnect and reconnect to the MCP Server.

When assets have multiple versions, expiry dates or rights restrictions, this can be handled by Bright AI.

If a DAM system supports asset versions, Bright will give the latest asset version to AI by default and tell it the version number in the metadata. AI can request other versions of an asset with the Asset-Versions tool call.

See https://support.ci-hub.com/ci-hub-bright-mcp-server-capabilities-and-actions for the full tool call capabilities of the Bright MCP Server, assuming the DAM system supports them on their side.

Bright MCP Server supplies the AI with the metadata as it is received from the DAM system’s API. If the DAM API supports custom metadata and you configure it according to your needs, then it will be made available to the AI and its users.