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What is a Prompt?

Prompts in GetMCP are reusable prompt templates that AI clients can retrieve and use via the MCP prompts/get method. They let you define structured instructions, system prompts, or workflow templates that AI clients can populate with runtime arguments. Unlike tools (which call external APIs) or resources (which provide data), prompts provide instruction templates that guide how the AI should behave or structure its output.

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Use Cases

  • Standardized system prompts: Define how the AI should introduce itself or behave in a specific context
  • Workflow templates: Multi-step instructions for complex tasks (e.g., “Write a product description given these fields”)
  • Format instructions: Tell the AI how to format its output for a specific use case
  • Domain-specific prompts: Context-rich instructions for specialized domains (legal, medical, technical)

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Prompt Properties

PropertyDescription
NameMachine-readable identifier (e.g., write_product_description)
DescriptionWhat this prompt does; used by AI clients for discovery
ArgumentsTyped parameters the AI must/can provide when requesting the prompt
Template ContentThe prompt text with {{argument_name}} placeholders

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Prompt Arguments

Each prompt can define typed arguments with the following properties:
PropertyTypeDescription
namestringArgument identifier
descriptionstringWhat this argument is for
requiredbooleanWhether the argument must be provided
Example arguments for a write_product_description prompt: 
[
  {
    "name": "product_name",
    "description": "The name of the product",
    "required": true
  },
  {
    "name": "key_features",
    "description": "Comma-separated list of key features",
    "required": true
  },
  {
    "name": "tone",
    "description": "Writing tone: professional, casual, or enthusiastic",
    "required": false
  }
]

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Template Content

The template is the prompt text with {{argument_name}} placeholders that get replaced with the actual values when the prompt is retrieved: 
You are a product copywriter. Write a compelling product description for:

**Product**: {{product_name}}

**Key Features**:
{{key_features}}

**Tone**: {{tone}}

Guidelines:
- Keep it under 150 words
- Highlight the most important feature first
- End with a clear call to action
- Use {{tone}} language throughout

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Creating a Prompt

1

Open the Prompts Tab

Inside a server, click the Prompts tab.
2

Click Add Prompt

Click Add Prompt to open the prompt editor.
3

Set Name and Description

Enter a machine-readable name and a clear description.
4

Define Arguments

Add arguments using the argument editor. Specify which are required.
5

Write the Template

Write the template content using {{argument_name}} placeholders.
6

Save

Click Save. The prompt is now available via prompts/list and prompts/get.
Prompt Editor

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MCP Protocol

Prompts integrate with the standard MCP protocol methods:
  • prompts/list — Returns all prompts for the server (name, description, arguments schema)
  • prompts/get — Returns the rendered prompt content with provided argument values substituted
When an AI client calls prompts/get, it passes the argument values and receives back the fully rendered prompt text ready to use.