PyPI Query MCP Server - Prompt Templates Feature Summary

🎯 Overview

Successfully implemented comprehensive MCP prompt templates for the PyPI Query MCP Server, adding structured guidance capabilities for common PyPI package analysis and decision-making scenarios.

✅ Completed Features

1. Package Analysis Templates

analyze_package_quality - Comprehensive package quality analysis
compare_packages - Detailed comparison of multiple packages
suggest_alternatives - Finding suitable package alternatives

2. Dependency Management Templates

resolve_dependency_conflicts - Structured dependency conflict resolution
plan_version_upgrade - Package version upgrade planning
audit_security_risks - Security risk assessment and compliance

3. Migration Planning Templates

plan_package_migration - Comprehensive migration strategy planning
generate_migration_checklist - Detailed migration checklists

📁 File Structure

pypi_query_mcp/
├── prompts/
│   ├── __init__.py                    # Module exports
│   ├── package_analysis.py           # Package analysis templates
│   ├── dependency_management.py      # Dependency management templates
│   └── migration_guidance.py         # Migration planning templates
├── server.py                         # Updated with prompt registrations
examples/
├── prompt_templates_demo.py          # Demonstration script
tests/
├── test_prompt_templates.py          # Test coverage
docs/
├── PROMPT_TEMPLATES.md               # Comprehensive documentation
└── README.md                         # Updated with new features

🔧 Technical Implementation

Prompt Template Architecture

Message-based structure: Each template returns structured Message objects
Parameter validation: Using Pydantic Field annotations for robust input validation
Async support: All templates are async-compatible for FastMCP integration
Type safety: Full type annotations for better IDE support and validation

FastMCP Integration

Server registration: All templates registered as MCP prompts in server.py
Standardized naming: Consistent naming convention for prompt functions
Return format: Templates return structured text prompts for LLM consumption

Key Features

Comprehensive guidance: Each template provides detailed, actionable prompts
Structured output: Markdown-formatted prompts with clear sections and emojis
Contextual parameters: Rich parameter sets for customizing prompt content
Real-world scenarios: Templates address common PyPI package management challenges

📖 Documentation

1. PROMPT_TEMPLATES.md

Complete documentation for all 8 prompt templates
Parameter descriptions and usage examples
Integration examples for different MCP clients
Best practices and customization guidance

2. Updated README.md

Added prompt templates to feature list
Updated tool count and descriptions
Added usage examples for prompt templates
Cross-referenced detailed documentation

3. Demo and Examples

prompt_templates_demo.py: Interactive demonstration script
Usage examples: Real-world scenarios in documentation
Client integration: Examples for Claude Desktop, Cursor, Cline

🧪 Testing and Quality

Test Coverage

Unit tests: Comprehensive test suite for all prompt templates
Integration tests: Validation of prompt structure and content
Mock testing: Isolated testing without external dependencies

Code Quality

Linting: Passed ruff and isort checks
Type checking: Full type annotations and validation
Documentation: Comprehensive docstrings and comments

🚀 Usage Examples

In Claude Desktop

Use the "analyze_package_quality" prompt template to analyze the requests package

In Cursor

@pypi-query analyze_package_quality requests 2.31.0

Programmatic Usage

from fastmcp import Client

client = Client("pypi_query_mcp.server:mcp")
result = await client.get_prompt("analyze_package_quality", {
    "package_name": "requests", 
    "version": "2.31.0"
})

🎨 Template Categories

Analysis & Evaluation

Quality assessment frameworks
Comparative analysis structures
Alternative evaluation criteria

Problem Solving

Dependency conflict resolution strategies
Security audit methodologies
Upgrade planning frameworks

Project Management

Migration planning templates
Checklist generation
Timeline and resource planning

🔮 Benefits

For Developers

Structured guidance: Clear frameworks for package decisions
Time saving: Pre-built templates for common scenarios
Best practices: Incorporates industry standards and methodologies
Consistency: Standardized approach to package analysis

For Teams

Knowledge sharing: Consistent evaluation criteria across team members
Documentation: Built-in documentation templates for decisions
Risk management: Structured risk assessment frameworks
Planning: Comprehensive migration and upgrade planning

For Projects

Quality assurance: Systematic package evaluation processes
Security: Built-in security assessment templates
Maintenance: Structured upgrade and migration planning
Compliance: Templates for regulatory and compliance requirements

🎯 Integration Ready

The prompt templates are now fully integrated into the PyPI Query MCP Server and ready for use in any MCP-compatible client:

✅ Claude Desktop - Full prompt template support
✅ Cursor - Command palette integration
✅ Cline - Interactive prompt access
✅ Windsurf - Built-in template support
✅ Custom clients - Programmatic API access

📊 Impact

This feature significantly enhances the PyPI Query MCP Server by:

Expanding capabilities from simple queries to comprehensive guidance
Improving user experience with structured, actionable prompts
Supporting decision-making with proven frameworks and methodologies
Enabling best practices through built-in templates and guidance
Facilitating team collaboration with standardized evaluation criteria

The prompt templates transform the server from a data provider into a comprehensive PyPI package management advisor, making it an essential tool for Python developers and teams.