Adobe Fusion MCP modules

The Adobe Fusion MCP connector sends one plain-English prompt to the Adobe Fusion Model Context Protocol (MCP) server. An AI model interprets your request and calls the Fusion tools needed to complete it.

The connector works only with the hosted Adobe Fusion MCP server. You cannot point it at another MCP server.

For more information about MCP in Fusion scenarios, see Add an AI prompt to your scenario.

Access requirements

Expand to view access requirements for the functionality in this article.
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Adobe Workfront package

Any Adobe Workfront Workflow package and any Adobe Workfront Automation and Integration package

Workfront Ultimate

Workfront Prime and Select packages, with an additional purchase of Workfront Fusion.

Adobe Workfront licenses

Standard

Work or higher

Product If your organization has a Select or Prime Workfront package that does not include Workfront Automation and Integration, your organization must purchase Adobe Workfront Fusion.

For more detail about the information in this table, see Access requirements in documentation.

Connect Adobe Fusion MCP to Workfront Fusion

You can create a connection directly from inside the Adobe Fusion MCP module.

  1. In the Adobe Fusion MCP module, click Add next to the Connection field.

  2. Fill in the following fields:

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    Connection name Enter a name for this connection.
    Environment Select whether you are connecting to a production or non-production environment.
    Type Select whether you are connecting to a service account or a personal account.
  3. Click Continue.

You are redirected to Adobe’s login page. Sign in with your Adobe account and approve access. You are redirected back to Workfront Fusion, and the new connection is available in the module.

Adobe Fusion MCP module and its fields

Process a user prompt

This action module sends a plain-English prompt to the Adobe Fusion MCP server. An AI model interprets the prompt, calls the Fusion tools needed to complete it, and returns the result.

LLM key (Optional, advanced)

By default, this module processes your prompt using Adobe Managed AI, and you do not need to select a key.

To use your own AI provider instead, select an existing LLM key, or create a new one by clicking Add and entering the following information:

  • Key name: Enter a name for the new key.
  • LLM: Select the large language model that this key is associated with. Supported providers are OpenAI, Anthropic, and Amazon Bedrock.
  • Key: Enter or map your API key for the selected provider.
  • Model: Select the LLM model that the key will use.
  • Other fields: Enter values for any other fields that your LLM requires.
Connection
For instructions about connecting Adobe Fusion MCP to Workfront Fusion, see Connect Adobe Fusion MCP to Workfront Fusion in this article.
Read-only tools (Optional)
Select specific read-only tools to restrict the AI. If none are selected, all read-only tools in this category are allowed.
Write/delete tools (Optional)

Select specific write or delete tools to restrict the AI. If none are selected, all write and delete tools in this category are allowed.

To guarantee that an unattended scenario never takes a destructive action, we recommend leaving this field set to a deliberately empty selection rather than leaving it unrestricted.

Enter your prompt
Enter or map the instruction, in plain English, that you want the AI to carry out.

Restrict the tools the AI can call

You can limit which Fusion tools the AI can call by selecting tools in the Read-only tools and Write/delete tools fields.

  • If you leave a field empty, the AI can call every tool in that category.
  • If you leave both fields empty, the AI can call every tool on the Fusion MCP server.

To prevent an unattended scenario from taking a write or delete action, select only the tools you want to allow in the Read-only tools field, and select at least one tool in the Write/delete tools field that you are comfortable with the AI calling.

Tool names in the lists come from the Fusion MCP server.

How the module processes your prompt

  • The module does not have a follow-up turn. If your prompt is unclear, the AI makes a reasonable assumption and states it in the response instead of asking you a question.
  • The AI verifies information that can change by using the tools.
  • The AI does not take any write or delete action beyond what your prompt requests.
  • The module requires a valid connection. It does not run without one.

Output

The module returns the following information, which you can map in subsequent modules in the scenario:

  • Response: The AI’s final answer, as text.
  • Audit Trail: A record of the session, including the tools called, their arguments and results, and timings.
  • Summary: Totals for the session, including the number of successful tool calls and the final status.
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