Feature Model Analyzer
what is UVL Analyzer MCP?
The UVL Analyzer MCP is a Model Context Protocol (MCP) server designed to analyze feature models written in the Universal Variability Language (UVL). It provides tools to process and extract insights from feature models, such as identifying atomic sets and calculating average branching factors.
how to use UVL Analyzer MCP?
To use the UVL Analyzer MCP, you can run it using Docker or NPX. For Docker, you can add the provided command to your configuration file. For NPX, you can use the specified command to run the analyzer directly.
key features of UVL Analyzer MCP?
- Identifies atomic sets in feature models.
- Calculates average branching factors.
- Measures commonality of features.
- Generates all valid configurations of a feature model.
- Identifies core features and counts leaf features.
- Checks satisfiability of models.
use cases of UVL Analyzer MCP?
- Analyzing complex feature models in software product lines.
- Optimizing feature configurations for better product derivation.
- Identifying mandatory and optional features in product lines.
FAQ from UVL Analyzer MCP?
- What is the purpose of the UVL Analyzer MCP?
It is designed to analyze feature models and provide insights into their structure and configurations.
- Is UVL Analyzer MCP free to use?
Yes! It is licensed under the MIT License, allowing free use and modification.
- How can I run the UVL Analyzer MCP?
You can run it using Docker or NPX as specified in the usage instructions.
Server Config
{
"mcpServers": {
"fm-analyzer": {
"command": "npx",
"args": [
"-y",
"@lbdudc/mcp-uvl-analyzer"
]
}
}
}