Use Cases

Examples showing how to use snippets-mcp in real-world scenarios with your AI assistant.

Saving Code

Quick save from conversation

“Save this function as a snippet”

func ParseJSON[T any](data []byte) (T, error) {
    var result T
    if err := json.Unmarshal(data, &result); err != nil {
        return result, fmt.Errorf("parse json: %w", err)
    }
    return result, nil
}

Your AI assistant will:

1. Suggest filename: parse_json.go
2. Suggest description: Generic JSON parser #go #json #utility
3. Create as private gist

Save with specific tags

“Save this Python script with tags #python #automation #cli”

Your AI assistant uses create_snippet with your specified tags in the description.

Organizing Snippets

Browse by language

“Show me all my Go snippets”

Your AI assistant uses list_snippets with language: "Go" filter.

Filter by tag

“List my snippets tagged #api”

Your AI assistant uses list_snippets with tag: "api" filter.

Search descriptions

“Find my snippets about database connections”

Your AI assistant uses list_snippets with search: "database connection".

Code Review

Review for quality

“Review snippet abc123”

Your AI assistant fetches the snippet and provides:

• Code structure assessment
• Naming and readability feedback
• Potential improvements
• Edge case considerations

Security review

“Check snippet abc123 for security issues”

Your AI assistant focuses on:

• Input validation
• Injection vulnerabilities
• Sensitive data handling
• Authentication patterns

Performance review

“Analyze the performance of snippet abc123”

Your AI assistant examines:

• Algorithm complexity
• Memory allocation patterns
• I/O operations
• Optimization opportunities

Code Explanation

Beginner explanation

“Explain snippet abc123 for someone new to programming”

Your AI assistant provides:

• High-level purpose
• Line-by-line walkthrough
• Plain language explanations
• Real-world analogies

Expert deep-dive

“Give me a technical breakdown of snippet abc123”

Your AI assistant covers:

• Implementation trade-offs
• Algorithmic complexity
• Alternative approaches
• Edge cases and limitations

Building a Personal Library

Categorize by project

Use tags to organize by project:

• #projectA #auth — Authentication code for Project A
• #projectA #api — API handlers for Project A
• #common #utility — Shared utility functions

Version control patterns

“Update snippet abc123 with this improved version”

Your AI assistant uses update_snippet to replace the content while preserving the ID and URL.

Clean up old snippets

“Delete snippet abc123, I don’t need it anymore”

Your AI assistant confirms and uses delete_snippet with confirm: true.

Integration Workflows

Reusing snippets in projects

“Show me my HTTP client snippet so I can adapt it”

Your AI assistant fetches the full content via get_snippet, displaying the code for copy-paste or modification.

Finding reference implementations

“Find my snippet about rate limiting”

Your AI assistant searches your snippets and returns matching code for reference.

Documenting patterns

Save frequently-used patterns:

“Save this error handling pattern as a snippet with tags #go #error #pattern”

Build a personal library of reusable code patterns.

Tips

1. Use consistent tags: Develop a tagging convention (language, domain, purpose)
2. Write good descriptions: Descriptions are searchable—be descriptive
3. One concept per snippet: Keep snippets focused on a single purpose
4. Include context: Add comments explaining when/why to use the code
5. Review periodically: Clean up outdated snippets to keep your library useful