# 🎤 mcpypi 🥧
### *Your Master of Ceremonies for PyPI*

<div align="center">

[![PyPI version](https://img.shields.io/pypi/v/mcpypi.svg?style=for-the-badge&logo=pypi&logoColor=white)](https://pypi.org/project/mcpypi/)
[![Python versions](https://img.shields.io/pypi/pyversions/mcpypi.svg?style=for-the-badge&logo=python&logoColor=white)](https://pypi.org/project/mcpypi/)
[![Downloads](https://img.shields.io/pypi/dm/mcpypi.svg?style=for-the-badge&logo=pypi&logoColor=white)](https://pypi.org/project/mcpypi/)
[![License](https://img.shields.io/pypi/l/mcpypi.svg?style=for-the-badge)](https://github.com/rsp2k/pypi-query-mcp-server/blob/main/LICENSE)

</div>

---

> **mcpypi** (pronounced "MC-py-pie") is your **Master of Ceremonies** for PyPI! 🎤
> 
> *The ultimate PyPI package intelligence platform, now available through Model Context Protocol*

Just like a world-class DJ or MC controls the music and keeps the party flowing, **mcpypi** orchestrates your entire Python package ecosystem. It's the perfect fusion of "**MCP**" + "**PyPI**" + the Python community's beloved tradition of naming everything with "**pie**" 🥧 (NumPy, SciPy, SymPy... you get it!).

Think of mcpypi as your **intelligent package DJ** - it knows all the tracks (packages), their dependencies, security vulnerabilities, licenses, and can help you mix the perfect environment for your Python projects!

## 🌟 Why mcpypi?

<table>
<tr>
<td width="50%">

### 🎯 **37 Powerful Tools**
Complete PyPI analysis suite across 8 categories

### 🔒 **Security First**
OSV database integration + GitHub advisories

### 📊 **Real-time Analytics** 
Live download stats, trends, and rankings

### 🏥 **Health Scoring**
7-category package quality assessment

</td>
<td width="50%">

### 📄 **License Intelligence**
SPDX compatibility analysis + risk assessment  

### 🔍 **Deep Analysis**
Dependency trees, requirements parsing, bulk operations

### ⚡ **Lightning Fast**
Async operations with intelligent caching

### 🎤 **MCP Integration**
Works with Claude Code, Claude Desktop, Cursor, and more!

</td>
</tr>
</table>

## Features

Your MC knows how to drop the beats! 🎵

- 📦 **Track Info** - Get the full story on any PyPI package (metadata, versions, dependencies)
- 🐍 **Compatibility Check** - Know which Python versions can handle your tracks
- 🔍 **Deep Mixing** - Advanced dependency analysis and recursive resolution to avoid conflicts
- 📥 **Collection Building** - Download packages with all their dependencies for offline mixing
- 📊 **Chart Analysis** - Real-time download statistics and popularity trends 
- 🏆 **Top 40** - Discover the hottest packages trending right now
- 🔒 **Security Scanning** - Keep your playlist safe from vulnerable packages
- 📄 **License Mixing** - Ensure your package mix is legally compatible
- 🏥 **Health Check** - Assess package quality across 7 key metrics
- 📋 **Setlist Analysis** - Parse and analyze requirements files in any format
- 🎯 **Smart Prompts** - MCP templates for guided decision-making
- 🏢 **Private Venues** - Support for private PyPI repositories  
- ⚡ **Live Performance** - Fast async operations with intelligent caching
- 🛠️ **Universal Mixer** - Easy integration with all MCP clients

## 🚀 Quick Start

Ready to get your MC on the decks? Here's how to book mcpypi for your next Python party! 🎉

### Option 1: Lightning Setup ⚡ (Recommended)

```bash
# One-liner - Run immediately with uvx
uvx mcpypi
```

### Option 2: Traditional Install 📦

```bash
# Install from PyPI
pip install mcpypi

# Run the server  
python -m pypi_query_mcp.server
```

### Option 3: Claude Code Integration 🎤

```bash  
# Connect directly to Claude Code
claude mcp add mcpypi -- uvx mcpypi
```

<div align="center">

### 🎊 **That's it! Your MC is now live and ready to rock!** 🎊

</div>

---

## 🎭 Live Demo

Here's what your MC can do for you:

<table>
<tr>
<td align="center">

### 🔍 **Package Intelligence**
```python
"What are the security vulnerabilities 
in Django 4.1?"
```
*Get real-time security analysis with OSV database*

</td>
<td align="center">

### 📊 **Trend Analysis**
```python
"Show me the top 10 trending 
ML packages this week"
```
*Live PyPI download trends and rankings*

</td>
</tr>
<tr>
<td align="center">

### 🏥 **Health Scoring**
```python
"Compare the health scores of 
FastAPI vs Django vs Flask"
```
*7-category quality assessment with GitHub metrics*

</td>
<td align="center">

### 📄 **License Compliance**
```python
"Check if my requirements.txt 
is MIT license compatible"
```
*SPDX normalization with risk assessment*

</td>
</tr>
</table>

---

### 🛠️ Advanced Installation

<details>
<summary><b>Development Setup</b></summary>

```bash
git clone https://github.com/rsp2k/pypi-query-mcp-server.git
cd pypi-query-mcp-server
uv sync
uv run pypi-query-mcp
```

**Building and Publishing:**
```bash
# Build the package
uv run python -m build

# Publish to PyPI (requires ~/.pypirc configuration)
uv run twine upload dist/*

# Publish to TestPyPI
uv run twine upload --repository testpypi dist/*
```

**PyPI Configuration:**
Create `~/.pypirc` with your API tokens:
```ini
[distutils]
index-servers = pypi testpypi

[pypi]
username = __token__
password = pypi-your-production-token-here

[testpypi]
repository = https://test.pypi.org/legacy/
username = __token__
password = pypi-your-test-token-here
```

</details>

---

## 🎛️ Configuration

<div align="center">

**mcpypi works with ALL major MCP clients!**

[![Claude Desktop](https://img.shields.io/badge/Claude_Desktop-Ready-blue?style=for-the-badge&logo=anthropic)](https://claude.ai/desktop)
[![Claude Code](https://img.shields.io/badge/Claude_Code-Ready-blue?style=for-the-badge&logo=anthropic)](https://claude.ai/code)
[![Cursor](https://img.shields.io/badge/Cursor-Ready-blue?style=for-the-badge&logo=cursor)](https://cursor.sh/)
[![Windsurf](https://img.shields.io/badge/Windsurf-Ready-blue?style=for-the-badge)](https://codeium.com/windsurf)

</div>

### 🖥️ Claude Desktop

Add to your Claude Desktop configuration file:

**MacOS**: `~/Library/Application Support/Claude/claude_desktop_config.json`
**Windows**: `%APPDATA%/Claude/claude_desktop_config.json`

```json
{
  "mcpServers": {
    "pypi-query": {
      "command": "uvx",
      "args": ["--from", "mcpypi", "mcpypi"],
      "env": {
        "PYPI_INDEX_URL": "https://pypi.org/pypi",
        "PYPI_INDEX_URLS": "https://mirrors.aliyun.com/pypi/simple/,https://pypi.tuna.tsinghua.edu.cn/simple/",
        "PYPI_CACHE_TTL": "3600",
        "PYPI_LOG_LEVEL": "INFO"
      }
    }
  }
}
```

#### With Private Repository
```json
{
  "mcpServers": {
    "pypi-query": {
      "command": "uvx",
      "args": ["--from", "mcpypi", "mcpypi"],
      "env": {
        "PYPI_INDEX_URL": "https://pypi.org/pypi",
        "PYPI_PRIVATE_PYPI_URL": "https://private.pypi.company.com",
        "PYPI_PRIVATE_PYPI_USERNAME": "your_username",
        "PYPI_PRIVATE_PYPI_PASSWORD": "your_password",
        "PYPI_CACHE_TTL": "3600"
      }
    }
  }
}
```

### Cline

Add to your Cline MCP settings (`cline_mcp_settings.json`):

```json
{
  "mcpServers": {
    "pypi-query": {
      "command": "uvx",
      "args": ["--from", "mcpypi", "mcpypi"],
      "env": {
        "PYPI_INDEX_URL": "https://pypi.org/simple/",
        "CACHE_TTL": "3600"
      }
    }
  }
}
```

### Cursor

Add to your Cursor MCP configuration (`.cursor/mcp.json`):

```json
{
  "mcpServers": {
    "pypi-query": {
      "command": "uvx",
      "args": ["--from", "mcpypi", "mcpypi"],
      "env": {
        "PYPI_INDEX_URL": "https://pypi.org/simple/",
        "CACHE_TTL": "3600"
      }
    }
  }
}
```

### Windsurf

Add to your Windsurf MCP configuration (`~/.codeium/windsurf/mcp_config.json`):

```json
{
  "mcpServers": {
    "pypi-query": {
      "command": "uvx",
      "args": ["--from", "mcpypi", "mcpypi"],
      "env": {
        "PYPI_INDEX_URL": "https://pypi.org/simple/",
        "CACHE_TTL": "3600"
      }
    }
  }
}
```

### Claude Code

If you're using [Claude Code](https://claude.ai/code), you can connect to this MCP server using the `claude mcp` command:

```bash
# Connect to the PyPI Query MCP server (global - available in all Claude Code instances)
claude mcp add mcpypi -- uvx mcpypi

# Connect for local development or single Claude Code instance only
claude mcp add -s local mcpypi -- uvx mcpypi

# Or with custom environment variables
claude mcp add mcpypi -- uvx mcpypi \
  --env PYPI_INDEX_URL=https://pypi.org/pypi \
  --env PYPI_CACHE_TTL=3600 \
  --env PYPI_LOG_LEVEL=INFO

# List connected MCP servers
claude mcp list

# Remove the server (global scope)
claude mcp remove mcpypi

# Remove the server (local scope)
claude mcp remove -s local mcpypi
```

Once connected, you can use all the MCP tools directly in Claude Code sessions by asking questions like:
- "What are the dependencies of Django?"
- "Check if numpy is compatible with Python 3.11"
- "Show me the top downloaded packages this month"
- "Analyze the security vulnerabilities in my requirements.txt file"

### Environment Variables

#### Basic Configuration
- `PYPI_INDEX_URL`: Primary PyPI index URL (default: https://pypi.org/pypi)
- `PYPI_CACHE_TTL`: Cache time-to-live in seconds (default: 3600)
- `PYPI_LOG_LEVEL`: Logging level (default: INFO)
- `PYPI_REQUEST_TIMEOUT`: HTTP request timeout in seconds (default: 30.0)

#### Multiple Mirror Sources Support
- `PYPI_INDEX_URLS`: Additional PyPI index URLs (comma-separated, optional)
- `PYPI_EXTRA_INDEX_URLS`: Extra PyPI index URLs for fallback (comma-separated, optional)

#### Private Repository Support
- `PYPI_PRIVATE_PYPI_URL`: Private PyPI repository URL (optional)
- `PYPI_PRIVATE_PYPI_USERNAME`: Private PyPI username (optional)
- `PYPI_PRIVATE_PYPI_PASSWORD`: Private PyPI password (optional)

#### Advanced Dependency Analysis
- `PYPI_DEPENDENCY_MAX_DEPTH`: Maximum depth for recursive dependency analysis (default: 5)
- `PYPI_DEPENDENCY_MAX_CONCURRENT`: Maximum concurrent dependency queries (default: 10)
- `PYPI_ENABLE_SECURITY_ANALYSIS`: Enable security vulnerability analysis (default: false)

#### Example Configuration
```bash
# Use multiple mirror sources for better availability
export PYPI_INDEX_URL="https://pypi.org/pypi"
export PYPI_INDEX_URLS="https://mirrors.aliyun.com/pypi/simple/,https://pypi.tuna.tsinghua.edu.cn/simple/"
export PYPI_EXTRA_INDEX_URLS="https://test.pypi.org/simple/"

# Private repository configuration
export PYPI_PRIVATE_PYPI_URL="https://private.pypi.company.com"
export PYPI_PRIVATE_PYPI_USERNAME="your_username"
export PYPI_PRIVATE_PYPI_PASSWORD="your_password"
```

## Available MCP Tools

The server provides **37 comprehensive MCP tools** across **8 categories**:

### Core Package Information (11 tools)
1. **get_package_info** - Get comprehensive package information
2. **get_package_versions** - List all available versions for a package
3. **get_package_dependencies** - Analyze package dependencies
4. **check_package_python_compatibility** - Check Python version compatibility
5. **get_package_compatible_python_versions** - Get all compatible Python versions
6. **resolve_dependencies** - Recursively resolve all package dependencies with detailed analysis
7. **download_package** - Download package and all dependencies to local directory
8. **get_download_statistics** - Get comprehensive download statistics for any package
9. **get_download_trends** - Analyze download trends and time series data (last 180 days)
10. **get_top_downloaded_packages** - Get the most popular packages by download count
11. **search_pypi_packages** - Advanced PyPI package search with intelligent fallbacks

### PyPI Publishing & Account Management (6 tools)
12. **upload_package_to_pypi** - Upload packages to PyPI with comprehensive validation
13. **check_pypi_credentials** - Validate PyPI authentication credentials
14. **get_pypi_upload_history** - Get detailed upload history and statistics
15. **delete_pypi_release** - Delete specific package releases from PyPI
16. **manage_pypi_maintainers** - Add/remove package maintainers
17. **get_pypi_account_info** - Get comprehensive PyPI account information

### Package Metadata & Management (4 tools)
18. **update_package_metadata** - Update package descriptions, keywords, and metadata
19. **manage_package_urls** - Update project URLs and documentation links
20. **set_package_visibility** - Control package visibility and access
21. **manage_package_keywords** - Add/remove package keywords and tags

### Analytics & Insights (4 tools)
22. **get_pypi_package_analytics** - Comprehensive package analytics and metrics
23. **get_pypi_security_alerts** - Security vulnerability alerts and advisories
24. **get_pypi_package_rankings** - Package popularity rankings and comparisons
25. **analyze_pypi_competition** - Competitive analysis with similar packages

### Discovery & Monitoring (4 tools)
26. **monitor_pypi_new_releases** - Monitor new package releases and updates
27. **get_pypi_trending_today** - Get trending packages with growth metrics
28. **search_pypi_by_maintainer** - Find packages by maintainer or organization
29. **get_pypi_package_recommendations** - Get intelligent package recommendations

### Development Workflow (4 tools)
30. **validate_pypi_package_name** - Validate package names and availability
31. **preview_pypi_package_page** - Preview package page before publishing
32. **check_pypi_upload_requirements** - Validate package before upload
33. **get_pypi_build_logs** - Retrieve build logs and debugging information

### 🔒 Security Analysis (2 tools)
34. **scan_pypi_package_security** - Comprehensive security vulnerability scanning with OSV database and GitHub advisories
35. **bulk_scan_package_security** - Bulk security scanning for multiple packages with consolidated reporting

### 📄 License & Compliance (2 tools)
36. **analyze_pypi_package_license** - License compatibility analysis with SPDX normalization and risk assessment
37. **check_bulk_license_compliance** - Bulk license compliance checking with comprehensive compatibility matrix

### 🏥 Package Health Assessment (2 tools)
- **assess_package_health_score** - Package health scoring across 7 categories (maintenance, popularity, documentation, testing, security, compatibility, metadata)
- **compare_packages_health_scores** - Comparative health analysis between multiple packages with GitHub metrics integration

### 📋 Requirements Analysis (2 tools)
- **analyze_requirements_file_tool** - Requirements file analysis supporting multiple formats (requirements.txt, pyproject.toml, setup.py, Pipfile, conda.yml)
- **compare_multiple_requirements_files** - Multi-file comparison for requirements analysis across different environments

### MCP Prompt Templates (12 tools)
- **analyze_package_quality** - Generate comprehensive package quality analysis prompts
- **compare_packages** - Generate detailed package comparison prompts
- **suggest_alternatives** - Generate prompts for finding package alternatives
- **resolve_dependency_conflicts** - Generate prompts for resolving dependency conflicts
- **plan_version_upgrade** - Generate prompts for planning package version upgrades
- **audit_security_risks** - Generate prompts for security risk auditing
- **plan_package_migration** - Generate comprehensive package migration plan prompts
- **generate_migration_checklist** - Generate detailed migration checklist prompts
- **analyze_environment_dependencies** - Generate prompts for analyzing current environment dependencies
- **check_outdated_packages** - Generate prompts for checking outdated packages with update priorities
- **generate_update_plan** - Generate prompts for creating comprehensive package update plans
- **analyze_daily_trends** - Generate prompts for analyzing daily PyPI download trends

> 📖 **Learn more about prompt templates**: See [PROMPT_TEMPLATES.md](PROMPT_TEMPLATES.md) for detailed documentation and examples.

## Usage Examples

Once configured in your MCP client (Claude Desktop, Cline, Cursor, Windsurf), you can ask questions like:

### Basic Package Queries
- "What are the dependencies of Django 4.2?"
- "Is FastAPI compatible with Python 3.9?"
- "Show me all versions of requests package"
- "What Python versions does numpy support?"
- "Get detailed information about the pandas package"

### Advanced Dependency Analysis
- "Please help me analyze the complete dependency tree for PySide2 with Python 3.10"
- "Resolve all dependencies for Django including development dependencies"
- "What are all the transitive dependencies of FastAPI?"

### Package Download
- "Please help me download PySide2 and all its dependencies for Python 3.10 to my local machine"
- "Download the requests package with all dependencies to ./downloads folder"
- "Collect all packages needed for Django development"

### Download Statistics & Popularity Analysis
- "What are the download statistics for the requests package this month?"
- "Show me the download trends for numpy over the last 180 days"
- "What are the top 10 most downloaded Python packages today?"
- "Compare the popularity of Django vs Flask vs FastAPI"
- "Which web framework has the highest download count this week?"

### MCP Prompt Templates
- "Use the analyze_package_quality prompt to evaluate the requests package"
- "Generate a comparison prompt for Django vs FastAPI vs Flask for building APIs"
- "Create a migration plan prompt for moving from Flask to FastAPI"
- "Help me resolve dependency conflicts with a structured prompt"
- "Generate a security audit prompt for my production packages"

### Environment Analysis
- "Analyze my current Python environment dependencies and check for outdated packages"
- "Check which packages in my environment have security updates available"
- "Generate an update plan for my production environment with conservative strategy"
- "Help me identify packages that need immediate updates vs. planned updates"

### Trending Analysis
- "What are the most downloaded Python packages today?"
- "Show me trending packages in the machine learning domain this week"
- "Track recent security updates and new package releases"
- "Find rising packages in web development that I should consider"

### Security Analysis
- "Scan Django for security vulnerabilities using OSV database"
- "Check my requirements.txt file for packages with known security issues"
- "Bulk scan all packages in my project for security vulnerabilities"
- "What security advisories exist for numpy version 1.21.0?"

### License Analysis & Compliance
- "Analyze the license compatibility of MIT, Apache-2.0, and GPL-3.0 licenses"
- "Check if all packages in my requirements.txt are compatible with my MIT license"
- "What are the licensing risks of using this package in a commercial project?"
- "Bulk check license compliance for my entire dependency tree"

### Package Health Assessment
- "Assess the overall health score of the requests package"
- "Compare the health scores of Django vs FastAPI vs Flask for a new project"
- "Which package has better maintenance: numpy or pandas?"
- "Score this package across maintenance, popularity, and security metrics"

### Requirements File Analysis
- "Analyze my requirements.txt file for outdated packages and security issues"
- "Compare my development and production requirements files"
- "Parse my pyproject.toml file and suggest package updates"
- "What dependencies in my Pipfile need security updates?"

### Example Conversations

**User**: "Check if Django 4.2 is compatible with Python 3.9"

**AI Assistant**: I'll check Django 4.2's compatibility with Python 3.9 for you.

*[Uses get_package_info and check_package_python_compatibility tools]*

**User**: "What are the main dependencies of FastAPI?"

**AI Assistant**: Let me get the dependency information for FastAPI.

*[Uses get_package_dependencies tool]*

**User**: "Show me the download statistics for the requests package and tell me which is more popular: requests or urllib3?"

**AI Assistant**: I'll get the download statistics for both packages and compare their popularity.

*[Uses get_download_statistics tool for both packages]*

### Programmatic Usage

```python
# Example: Check if Django is compatible with Python 3.9
result = await mcp_client.call_tool("check_package_python_compatibility", {
    "package_name": "django",
    "target_python_version": "3.9"
})

# Example: Get package information
info = await mcp_client.call_tool("get_package_info", {
    "package_name": "requests"
})

# Example: Get download statistics
stats = await mcp_client.call_tool("get_download_statistics", {
    "package_name": "numpy",
    "period": "month"
})

# Example: Get top downloaded packages
top_packages = await mcp_client.call_tool("get_top_downloaded_packages", {
    "period": "week",
    "limit": 10
})
```

## Development Status

🎉 **Core functionality implemented and ready for use!**

Current implementation status:
- ✅ Basic project structure
- ✅ PyPI API client with caching
- ✅ MCP tools implementation (package info, versions, dependencies)
- ✅ Python version compatibility checking
- ✅ Advanced dependency analysis and recursive resolution
- ✅ Package download with dependency collection
- ✅ **Download statistics and popularity analysis**
- ✅ **Top packages ranking and trends**
- ✅ CI/CD pipeline with multi-platform testing
- ⏳ Private repository support (planned)

## Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

## License

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
