| name | swift-complexity |
| description | Analyze Swift code complexity metrics (cyclomatic, cognitive, LCOM4). Use when asked to check code complexity, find complex functions, review code quality, or measure class cohesion in Swift projects. Use when this capability is needed. |
| metadata | {"author":"fummicc1"} |
Swift Complexity Analysis
Use the analyze_complexity and analyze_code_string MCP tools from the swift-complexity server to analyze Swift code.
When to use each tool
analyze_complexity: When analyzing files or directories on disk. Supports recursive analysis, threshold filtering, and LCOM4 cohesion metrics.analyze_code_string: When analyzing a Swift code snippet directly without needing a file on disk.
Workflow
- Use
analyze_complexity with "format": "json" for structured results
- Identify functions with high complexity (cyclomatic >= 10 or cognitive >= 15 are common thresholds)
- Provide actionable recommendations to reduce complexity (extract methods, simplify conditionals, use guard clauses)
Interpreting results
- Cyclomatic complexity: Number of independent paths through code. Higher = more test cases needed.
- Cognitive complexity: How hard the code is to understand. Accounts for nesting depth.
- LCOM4: Class cohesion metric. 1 = cohesive, higher = consider splitting the class.
Example usage
Analyze a directory recursively with a threshold:
{
"paths": ["Sources/"],
"recursive": true,
"threshold": 10,
"format": "json"
}
Source: fummicc1/swift-complexity — distributed by TomeVault.
