openai / openai-mcpkit
Conditional Complexity

The distribution of complexity of units (measured with McCabe index).

Intro
  • Conditional complexity (also called cyclomatic complexity) is a term used to measure the complexity of software. The term refers to the number of possible paths through a program function. A higher value ofter means higher maintenance and testing costs (infosecinstitute.com).
  • Conditional complexity is calculated by counting all conditions in the program that can affect the execution path (e.g. if statement, loops, switches, and/or operators, try and catch blocks...).
  • Conditional complexity is measured at the unit level (methods, functions...).
  • Units are classified in four categories based on the measured McCabe index: 1-5 (simple units), 6-10 (medium complex units), 11-25 (complex units), 26+ (very complex units).
Learn more...
Conditional Complexity Overall
  • There are 42 units with 845 lines of code in units (50.0% of code).
    • 1 very complex units (85 lines of code)
    • 0 complex units (0 lines of code)
    • 6 medium complex units (322 lines of code)
    • 8 simple units (193 lines of code)
    • 27 very simple units (245 lines of code)
10% | 0% | 38% | 22% | 28%
Legend:
51+
26-50
11-25
6-10
1-5
Alternative Visuals
Conditional Complexity per Extension
51+
26-50
11-25
6-10
1-5
py25% | 0% | 28% | 8% | 37%
ts0% | 0% | 44% | 32% | 23%
Conditional Complexity per Logical Component
primary logical decomposition
51+
26-50
11-25
6-10
1-5
python-authenticated-mcp-server-scaffold32% | 0% | 35% | 10% | 21%
typescript-authenticated-mcp-server-scaffold0% | 0% | 44% | 32% | 23%
scripts0% | 0% | 0% | 0% | 100%
Most Complex Units
Top 42 most complex units
Unit# linesMcCabe index# params
85 58 4
97 25 3
86 18 2
46 16 1
30 13 1
38 13 1
25 11 2
33 10 1
32 9 1
19 8 1
32 8 2
33 7 1
9 6 3
19 6 1
16 6 1
12 5 1
29 5 0
7 5 2
18 5 1
7 5 1
7 5 1
32 5 1
5 4 1
5 4 1
9 4 1
6 4 1
10 4 1
12 4 1
2 3 0
6 3 0
9 3 2
12 2 2
4 2 2
6 2 1
8 2 0
16 1 0
2 1 0
2 1 2
8 1 0
2 1 1
5 1 0
4 1 2