en How to Create Learning Objective Writer Using MCP
Write SMART learning objectives using Bloom's taxonomy. This guide creates the Learning Objective Writer prompt from Arthur's template catalog, sets up a blank MCP server, and links the prompt so any connected AI client can use it.
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Go to Prompt Templates and search for Learning Objective Writer.
Open the Prompt Templates catalog.
Search the catalog for the Learning Objective Writer template.
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Click Use template on the Learning Objective Writer card and review the prefilled name, description, and content preview.
Open the Learning Objective Writer template with its prefilled name and content preview.
Create the Learning Objective Writer prompt in the shared library.
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Click Create prompt — the prompt is added to your shared library.
Start creating the MCP server that will expose the prompt.
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Go to New server, choose Blank / Static as the source, and click Next.
Choose the Blank / Static source — no external connection is needed for a prompt-only server.
Advance to the server details step.
Name the server after the prompt it will expose.
Create the blank MCP server.
Open the server's Prompts tab.
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Name the server (for example, Learning Objective Writer Server) and click Create server.
Open the prompt-library picker.
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On the server's Prompts tab, click Add prompt, search for Learning Objective Writer, and click Add.
Search the library for the Learning Objective Writer prompt.
Link the Learning Objective Writer prompt to the server.
Close the picker and show the linked prompt on the Prompts tab.
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Open the server's Connect section and click Share the MCP swagger documentation — Arthur generates the public documentation link and QR code for this server.
Open the server's Connect section, where the MCP endpoint and its documentation live.
Open the MCP swagger documentation share panel.
Show the generated swagger documentation link and QR code for this server.
The Learning Objective Writer prompt appears on the server's Prompts tab, and the Connect section offers the server's MCP swagger documentation — a shareable page with setup instructions for any AI client. A connected client can now fetch the prompt through this server.
- Creates measurable learning objectives at all levels of Bloom's taxonomy for courses and modules.
- Arguments detected from the template:
{{course}},{{topic}},{{audience}},{{level}}— callers fill these in when invoking the prompt. - Editing the prompt in the shared library updates it on every server where it's linked.