iflow-mcp_loonghao-pypi-query-mcp-server 0.6.5
A Model Context Protocol (MCP) server for querying PyPI package information, dependencies, and compatibility
License: MIT
Requires Python: <4.0,>=3.10
Keywords: mcp, pypi, package, dependency, python

# PyPI Query MCP Server

[![PyPI version](https://img.shields.io/pypi/v/pypi-query-mcp-server.svg)](https://pypi.org/project/pypi-query-mcp-server/)

A Model Context Protocol (MCP) server for querying PyPI package information, dependencies, and compatibility checking.

## Features

- 📦 Query PyPI package information (name, version, description, 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**
- 🎯 **MCP prompt templates for guided analysis and decision-making**
- 🏢 Private PyPI repository support
- ⚡ Fast async operations with caching
- 🛠️ Easy integration with MCP clients

## Installation

### Using uvx (recommended)

```bash
# Run directly with uvx
uvx pypi-query-mcp-server

# Or install and run with specific script
uvx --from pypi-query-mcp-server pypi-query-mcp
```

### Using pip

```bash
# Install from PyPI
pip install pypi-query-mcp-server

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

### From source

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

## Configuration

### Claude Code (Recommended)

Add the PyPI Query MCP Server to Claude Code using the built-in MCP management:

```bash
# Add with local scope (project-specific)
claude mcp add pypi uvx pypi-query-mcp-server -s local

# Add with user scope (available across all projects) 
claude mcp add pypi uvx pypi-query-mcp-server -s user
```

> 📖 **Detailed Guide**: See [CLAUDE_CODE_INTEGRATION.md](CLAUDE_CODE_INTEGRATION.md) for comprehensive Claude Code integration documentation.

### 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", "pypi-query-mcp-server", "pypi-query-mcp"],
      "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", "pypi-query-mcp-server", "pypi-query-mcp"],
      "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", "pypi-query-mcp-server", "pypi-query-mcp"],
      "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", "pypi-query-mcp-server", "pypi-query-mcp"],
      "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", "pypi-query-mcp-server", "pypi-query-mcp"],
      "env": {
        "PYPI_INDEX_URL": "https://pypi.org/simple/",
        "CACHE_TTL": "3600"
      }
    }
  }
}
```

### 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 the following MCP tools:

### Core Package Information
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

### Python Compatibility
4. **check_package_python_compatibility** - Check Python version compatibility
5. **get_package_compatible_python_versions** - Get all compatible Python versions

### Advanced Dependency Analysis
6. **resolve_dependencies** - Recursively resolve all package dependencies with detailed analysis
7. **download_package** - Download package and all dependencies to local directory

### Download Statistics & Popularity
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

### MCP Prompt Templates
11. **analyze_package_quality** - Generate comprehensive package quality analysis prompts
12. **compare_packages** - Generate detailed package comparison prompts
13. **suggest_alternatives** - Generate prompts for finding package alternatives
14. **resolve_dependency_conflicts** - Generate prompts for resolving dependency conflicts
15. **plan_version_upgrade** - Generate prompts for planning package version upgrades
16. **audit_security_risks** - Generate prompts for security risk auditing
17. **plan_package_migration** - Generate comprehensive package migration plan prompts
18. **generate_migration_checklist** - Generate detailed migration checklist prompts

### Environment Analysis Templates
19. **analyze_environment_dependencies** - Generate prompts for analyzing current environment dependencies
20. **check_outdated_packages** - Generate prompts for checking outdated packages with update priorities
21. **generate_update_plan** - Generate prompts for creating comprehensive package update plans

### Trending Analysis Templates
22. **analyze_daily_trends** - Generate prompts for analyzing daily PyPI download trends
23. **find_trending_packages** - Generate prompts for discovering trending packages over time periods
24. **track_package_updates** - Generate prompts for tracking recent package updates and releases

> 📖 **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"

### 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.