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Reported issues for pyscn

Pod holds 15 of 15 problems reported by people outside the maintainer team. Issues filed by the project's own owners, members and collaborators are excluded entirely — a maintainer's release checklist is not a warning to a prospective user.

Back to pyscn.

Most discussed

Add unit tests for MCP server handlers

Task

Add unit tests for MCP server handlers in mcp/handlers_test.go

What to test

6 handlers in mcp/handlers.go:

Example

func TestHandleAnalyzeCode(t *testing.T) {
    deps := &Dependencies{/* ... */}
    request := mcp.CallToolRequest{
        Params: mcp.CallToolRequestParams{
            Arguments: map[string]interface{}{
       

[Read the thread](https://github.com/ludo-technologies/pyscn/issues/187) · 2025-10-14 · closed · 10 comments

### [FEATURE]  Is there a plan to integrate MCP?

May I ask if there are any plans to integrate MCP in the future, using ddd mode, modular development, and AI loop for testing? If you don't have any plans, can I fork the project and submit PR?

[Read the thread](https://github.com/ludo-technologies/pyscn/issues/181) · 2025-10-13 · closed · outside contributor · 2 comments

### [FEATURE] Integrate nesting depth metric into analyze command

**Description**:
  PR #143 implemented the nesting depth calculation logic. We should now integrate it into the `pyscn analyze`
  command to make it available to users.

  **Proposed Implementation**:
  - Add `NestingDepth int` field to `ComplexityMetrics` struct
  - Call `CalculateMaxNestingDepth()` in complexity analysis
  - Include nesting depth in all output formats (JSON, HTML, CSV, YAML)
  
  **Background**:
  #143 implemented the core nesting depth calculation. This issue is about exposin

[Read the thread](https://github.com/ludo-technologies/pyscn/issues/146) · 2025-10-08 · closed · 2 comments

### [BUG][auto] cbo-enum-member-inflation-module-qualified: CBO still double-counts enum members accessed via a module alias

## Description

Issue #593 / PR #594 fixed CBO's enum-member double-counting for the *direct-import* case (`from mod import RuleMode` then `RuleMode.BLOCKING`), where the import binding itself is the enum class name. But the same double-counting bug still occurs for the **module-qualified** case: `import mod as alias` (or `from pkg import _enums as reflection`) then `alias.EnumClass.MEMBER`. Here the enum class (`alias.EnumClass`) and each enum member access (`alias.EnumClass.MEMBER`) are still 

[Read the thread](https://github.com/ludo-technologies/pyscn/issues/667) · 2026-07-21 · closed · 1 comment

### [BUG] Claude code plugin does not work?

## Describe the bug
I had previously used the MCP with claude code successfully. Upon switching laptops and having to reconfigure my claude setup, I used the plugin. I found the plugin to not actually work?

Installing the `pyscn-mcp` plugin in Claude Code loads the **skill** but not the **MCP server**. `/reload-plugins` reports `0 plugin MCP servers`, and none of the `get_health_score` / `analyze_code` / `check_complexity` / … tools become available. The skill (`skills/SKILL.md`) instructs the 

[Read the thread](https://github.com/ludo-technologies/pyscn/issues/509) · 2026-06-02 · closed · external user · 1 comment

### [communities] AI-agent context map + MCP docs

Part of #564. **Phase 2**, **depends on stable community JSON (#584) and community risk score (#602)**.

## Problem

Discussion #563 and issue #564 call for helping AI coding/review agents know **which files to inspect together**. Phase 1 JSON lists all modules per community but is verbose for large repos and is not surfaced well in MCP defaults (`output_mode: summary` omits `community_analysis`).

## Scope

### AI context map output

Add a compact **`community_context_map`** (name TBD) optimize

[Read the thread](https://github.com/ludo-technologies/pyscn/issues/604) · 2026-06-25 · closed · 0 comments

### [communities] community risk score + Health Score integration

Part of #564. **Phase 2**, **depends on package and layer mismatch metrics**.

## Problem

Phase 1 exposes modularity (Q), bridge modules, and cross-community edge counts, but communities do not affect `HealthScore` and there is no single "community health" signal for CI or dashboards.

## Scope

### Community risk score

Define a **community risk / quality score** (0–100) derived from Phase 1 + Phase 2 mismatch metrics, e.g.:

- Low modularity Q
- High bridge-module count or cross-community edg

[Read the thread](https://github.com/ludo-technologies/pyscn/issues/602) · 2026-06-25 · closed · 0 comments

### [communities] layer mismatch scoring

Part of #564. **Phase 2**, **depends on the package mismatch issue** and existing architecture analysis (`deps` / `[architecture]` layers).

## Problem

pyscn already validates configured layer rules (allow/deny) via architecture analysis. Community detection surfaces *inferred* clusters from imports. Phase 2 should quantify disagreement between **configured layers** and **inferred communities**.

Example questions:
- Does the `api` layer's modules cluster together, or do they leak into an `infr

[Read the thread](https://github.com/ludo-technologies/pyscn/issues/601) · 2026-06-25 · closed · 0 comments

## Most recent

### Misleading 'disabled by default' comments for architecture analysis (clarify SOT)

## Summary

The default-enabled state of **architecture analysis** is defined in multiple places with **conflicting values**, and the struct-level defaults carry comments that contradict the actual runtime behavior. This is a documentation/consistency cleanup — no behavior change is required.

## Background

For the `analyze` command, whether architecture analysis runs is gated **solely** by `AnalyzeExecutionConfig.SystemAnalyzeArchitecture`:

- **No config file** → `defaultAnalyzeExecutionConfi

[Read the thread](https://github.com/ludo-technologies/pyscn/issues/524) · 2026-06-06 · closed · 0 comments

### feat: add LCOM4 (Lack of Cohesion of Methods) metric

## Summary

Add LCOM4 (Lack of Cohesion of Methods) metric to measure class cohesion by analyzing whether methods in a class share instance variables using a graph-based approach.

## Background

LCOM is one of the classic OO metrics proposed by Chidamber & Kemerer (1994). It complements the existing CBO (coupling) metric by measuring internal class quality.

### LCOM4 Algorithm (Hitz & Montazeri)

1. Build a graph where nodes = methods and edges connect methods that share instance variables
2. 

[Read the thread](https://github.com/ludo-technologies/pyscn/issues/334) · 2026-02-13 · closed · 0 comments

### feat: Publish as Claude Code plugin marketplace

## Summary

Publish pyscn-mcp as a Claude Code plugin marketplace.

## Background

- Anthropic's official marketplace (`anthropics/claude-plugins-official`) is primarily for partner companies; individual developer tools are unlikely to be accepted
- Publishing as a self-hosted marketplace is the realistic approach

## Required Work

### 1. Add directory structure

pyscn/ ├── .claude-plugin/ │ ├── marketplace.json # Marketplace definition │ └── plugin.json # Plugin manifest └──

Read the thread · 2026-01-10 · closed · 0 comments

Fix binary auto-detection in create_wheel.sh for pyscn_mcp package

Problem

The binary auto-detection logic in create_wheel.sh (lines 449-498) doesn't work correctly for pyscn_mcp package:

Current Impact

None - build_platform_wheel.sh always explicitly specifies binaries with --binary flag, so auto-detection is never used.

Future Risk

If someone runs `create_whee

Read the thread · 2025-10-18 · closed · 0 comments

Add MCP Integration section to README

Task

Add a "MCP Integration" section to the main README.md to showcase pyscn's AI assistant integration capabilities.

Background

pyscn now supports MCP (Model Context Protocol), allowing AI assistants like Claude Code and Cursor to directly analyze Python code quality. This is a major feature but not documented in the main README.

Steps

  1. Try out the MCP server

  2. Add README section

  3. Reference existing docs

Read the thread · 2025-10-14 · closed · 0 comments

Add pyscn-mcp binary to PyPI release workflow

Problem

The current Python release workflow (python/scripts/build_platform_wheel.sh) only builds the pyscn binary but not the pyscn-mcp binary. This means that when we release to PyPI, users won't be able to use uvx pyscn-mcp.

The MCP server implementation is already merged (#184), but it won't be included in PyPI releases.

Current Behavior

In python/scripts/build_platform_wheel.sh:

Read the thread · 2025-10-14 · closed · 0 comments

Add configurable grouping modes for clone detection

Summary

Add support for multiple grouping strategies in clone detection to allow users to choose between different trade-offs of precision vs recall.

Background

Currently only transitive grouping (connected components) is supported. This can lead to unwanted chaining effects. We need to support multiple grouping modes for different use cases.

Requirements

Implement the following grouping modes:

Read the thread · 2025-09-10 · closed · 0 comments

The remaining reports are on the project's issue tracker.