Prompts

​

What are Prompts?

In MCP, prompts are predefined templates that:

• Accept dynamic arguments: Use parameters to customize content
• Include context from resources: Embed data from MCP resources
• Chain multiple interactions: Create complex workflows
• Guide specific workflows: Standardize common LLM tasks
• Surface as UI elements: Appear as slash commands or quick actions

Prompts are discovered via prompts/list and retrieved using prompts/get requests.

​

Prompt Categories

​

Managing Prompt Libraries

​

Built-in Libraries

MCPMate includes curated prompt collections:

• General: Common AI interaction patterns
• Development: Code-focused prompts and templates
• Writing: Content creation and editing prompts
• Research: Information gathering and analysis

​

Custom Prompts

Create your own prompt templates:

1. Click New Prompt in the Prompts panel
2. Write your template with variable placeholders: {{variable_name}}
3. Add tags and categories for easy discovery
4. Test the prompt and save

​

Prompt Features

​

Variables and Placeholders

• Dynamic content: {{project_name}}, {{file_type}}, etc.
• Optional sections: Conditional text based on context
• Default values: Fallback content when variables aren’t provided

​

Version Control

• Prompt history: Track changes over time
• Rollback: Restore previous versions
• Branching: Create variations of successful prompts

​

Sharing and Import

• Export prompts: Share with team members
• Import libraries: Add community-created prompt sets
• Sync across devices: Keep prompts consistent everywhere

​

Using Prompts

Prompts are automatically available in your client applications:

• Auto-suggestions: Relevant prompts appear based on context
• Quick access: Search and insert prompts instantly
• Variable filling: Interactive forms for prompt variables

​

Best Practices

• Clear naming: Use descriptive names for easy discovery
• Good documentation: Add usage notes and examples
• Regular updates: Refine prompts based on results
• Team sharing: Collaborate on effective prompt libraries

---