Repository Analysis

MCPBlender/blender-mcp

🎨 Control Blender 3D with Claude AI — prompt-driven 3D modeling, materials & scene generation via MCP

26.8 Moderate AI signal View on GitHub

Analysis Overview

This report presents the forensic synthetic code analysis of MCPBlender/blender-mcp, a Python project with 25,649 GitHub stars. SynthScan v2.0 examined 5,876 lines of code across 17 source files, recording 151 pattern matches distributed across 7 syntactic categories. The overall adjusted score of 26.8 places this repository in the Moderate AI signal band.

The scanner applied 160+ deterministic lexical heuristics, multi-line block detectors, abstract syntax tree depth profilers, and a cross-file Jaccard similarity matrix to construct a statistically normalised synthetic code estimate. All matches are individually weighted by severity coefficient and contextual multiplier before summation, and the resulting headline score is temporally discounted to account for the repository's development history relative to the commercial emergence of large language model coding tooling (November 2022 onward).

26.8
Adjusted Score
26.8
Raw Score
100%
Time Factor
2026-08-08
Last Push
25.6K
Stars
Python
Language
5.9K
Lines of Code
17
Files
151
Pattern Hits
2026-08-09
Scan Date
0.00
HC Hit Rate

What These Metrics Mean

Adjusted Score
Primary synthetic code indicator. Raw score normalised per 1,000 lines of code and multiplied by the temporal discount factor. This is the definitive comparative metric — use it to rank repositories by AI authorship density.
Raw Score
The unmodified sum of all severity-weighted, context-multiplied pattern match scores before temporal discounting. Reflects the absolute signal strength independent of when the repository was last active.
Time Factor
The temporal discount multiplier (0–100%) applied to the raw score. Repositories last updated before ChatGPT's launch (Nov 2022) receive a 5% factor. Full signal is only assigned to repositories active in the post-adoption era (Jan 2024+).
Pattern Hits
Total count of individual pattern matches across all files and categories. A high hit count with a low score may indicate a very large codebase with isolated AI snippets; a low count with a high score indicates dense, concentrated AI signatures.
HC Hit Rate
High+Critical pattern hits per file, averaged across the repository. This orthogonal signal catches repositories where a few files are densely packed with high-severity AI tells — a strong indicator even when the normalised score appears moderate due to codebase size.
Lines of Code / Files
Total lines and files analysed. The scanner examines 94 file extensions. These denominators are used to normalise the score, enabling fair comparison between repositories of vastly different sizes.

Score History

Longitudinal tracking requires multiple scan runs. Once this repository is re-scanned after new commits land, this chart will visualise how the synthetic code signal evolves over time — enabling you to detect whether AI authorship is growing, stabilising, or being actively corrected by human engineers.

No multi-scan history yet — run the scanner again to build trend data.

Severity Breakdown

Classifies detected patterns by their diagnostic confidence and structural impact. CRITICAL patterns (coefficient 10) represent definitive synthetic signatures — hallucinated imports, explicit LLM attribution metadata — virtually never produced by human authors. HIGH (5) indicates strong structural tells such as cross-file repetition or cross-linguistic idioms. MEDIUM (2) covers recognisable conversational padding and AI-specific vocabulary. LOW (1) captures subtle indicators like tautological comments and generic boilerplate that require density to carry independent signal.

CRITICAL 0HIGH 0MEDIUM 27LOW 124

Directory Score Breakdown

This horizontal bar chart decomposes the repository's raw synthetic code score by top-level directory, allowing you to pinpoint precisely which modules or components carry the highest AI authorship density. Directories with disproportionately high scores relative to their size warrant targeted manual review: concentrated AI signatures often trace back to mass-generated configuration layers, auto-ported test suites, LLM-scaffolded boilerplate classes, or entire subsystems authored under heavy copilot assistance. Use this view to prioritise your human code-review effort.

Pattern Findings

The scanner identified 151 distinct pattern matches across 7 syntactic categories. Each entry below represents a discrete location in the source code where the engine recorded a statistically significant AI authorship indicator. Expand any category row to inspect the individual file paths, line numbers, code snippets, and the lexical context (CODE, COMMENT, or STRING) in which each match was detected.

Reading the findings table: The Severity column indicates the diagnostic confidence level (CRITICAL / HIGH / MEDIUM / LOW). The Context column identifies whether the match occurred inside executable code, an inline comment, or a string literal — comment-context matches receive a ×1.5 weight because LLMs systematically over-annotate. The ⚡ bolt icon marks clustered matches: three or more patterns within a 10-line window, each receiving an additional ×1.5 density multiplier as dense clusters constitute far stronger evidence of synthetic authorship than isolated hits.

Excessive Try-Catch Wrapping100 hits · 97 pts
SeverityFileLineSnippetContext
MEDIUMaddon.py186 print(f"Error accepting connection: {str(e)}")CODE
MEDIUMaddon.py189 print(f"Error in server loop: {str(e)}")CODE
MEDIUMaddon.py245 print(f"Error receiving data: {str(e)}")CODE
MEDIUMaddon.py248 print(f"Error in client handler: {str(e)}")CODE
MEDIUMaddon.py262 print(f"Error executing command: {str(e)}")CODE
MEDIUMaddon.py1464 print("Error: Child is not a mesh object.")CODE
MEDIUMaddon.py1467 print("Error: Expected an empty node with one mesh child or a single mesh object.")CODE
MEDIUMaddon.py1470 print("Error: Expected an empty node with one mesh child or a single mesh object.")CODE
MEDIUMaddon.py2346 print(f"An error occurred: {e}")CODE
MEDIUMaddon.py227 print(f"Error executing command: {str(e)}")CODE
MEDIUMaddon.py333 print(f"Error in handler: {str(e)}")CODE
MEDIUMaddon.py371 print(f"Error in get_scene_info: {str(e)}")CODE
MEDIUMaddon.py1236 print(f"Error in set_texture: {str(e)}")CODE
MEDIUMaddon.py1434 print("Error: No objects were imported.")CODE
MEDIUMaddon.py1447 print("Error: Expected an empty node with one mesh child or a single mesh object.")CODE
MEDIUMaddon.py218def execute_wrapper():CODE
MEDIUMaddon.py591def download_polyhaven_asset(self, asset_id, asset_type, resolution="1k", file_fCODE
LOWaddon.py185 except Exception as e:CODE
LOWaddon.py188 except Exception as e:CODE
LOWaddon.py244 except Exception as e:CODE
LOWaddon.py247 except Exception as e:CODE
LOWaddon.py261 except Exception as e:CODE
LOWaddon.py524 except Exception as e:CODE
LOWaddon.py541 except Exception as e:CODE
LOWaddon.py1480 except Exception as e:CODE
LOWaddon.py2345 except Exception as e:CODE
LOWaddon.py2394 except Exception as e:CODE
LOWaddon.py137 except Exception as e:CODE
LOWaddon.py226 except Exception as e:CODE
LOWaddon.py332 except Exception as e:CODE
LOWaddon.py370 except Exception as e:CODE
LOWaddon.py500 except Exception as offscreen_err:CODE
LOWaddon.py557 except Exception as e:CODE
LOWaddon.py588 except Exception as e:CODE
LOWaddon.py689 except Exception as e:CODE
LOWaddon.py826 except Exception as e:CODE
LOWaddon.py913 except Exception as e:CODE
LOWaddon.py925 except Exception as e:CODE
LOWaddon.py1235 except Exception as e:CODE
LOWaddon.py1341 except Exception as e:CODE
LOWaddon.py1373 except Exception as e:CODE
LOWaddon.py1530 except Exception as e:CODE
LOWaddon.py1560 except Exception as e:CODE
LOWaddon.py1595 except Exception as e:CODE
LOWaddon.py1621 except Exception as e:CODE
LOWaddon.py1661 except Exception as e:CODE
LOWaddon.py1745 except Exception as e:CODE
LOWaddon.py1831 except Exception as e:CODE
LOWaddon.py2054 except Exception as e:CODE
LOWaddon.py2250 except Exception as e:CODE
LOWaddon.py2267 except Exception as e:CODE
LOWaddon.py2307 except Exception as e:CODE
LOWaddon.py2315 except Exception as e:CODE
LOWaddon.py2461 except Exception as e:CODE
LOWaddon.py2470 except Exception as e:CODE
LOWaddon.py2686 except Exception as e:CODE
LOWsrc/blender_mcp/server.py51 except Exception as e:CODE
LOWsrc/blender_mcp/server.py61 except Exception as e:CODE
LOWsrc/blender_mcp/server.py103 except Exception as e:CODE
LOWsrc/blender_mcp/server.py178 except Exception as e:CODE
40 more matches not shown…
Self-Referential Comments10 hits · 33 pts
SeverityFileLineSnippetContext
MEDIUMaddon.py531 # Create a local namespace for executionCOMMENT
MEDIUMaddon.py2408 # Create a temporary directoryCOMMENT
MEDIUMaddon.py622 # Create a new world if none existsCOMMENT
MEDIUMaddon.py745 # Create a new material with the downloaded texturesCOMMENT
MEDIUMaddon.py838 # Create a temporary directory to store the model and its dependenciesCOMMENT
MEDIUMaddon.py874 # Create the directory structure for the included fileCOMMENT
MEDIUMaddon.py978 # Create a new materialCOMMENT
MEDIUMaddon.py2645 # Create a new server instanceCOMMENT
MEDIUMsrc/blender_mcp/server.py220# Create the MCP server with lifespan supportCOMMENT
MEDIUMsrc/blender_mcp/server.py242 # Create a new connection if neededCOMMENT
Hyper-Verbose Identifiers19 hits · 12 pts
SeverityFileLineSnippetContext
LOWaddon.py266 def _execute_command_internal(self, command):CODE
LOWaddon.py2353 def poll_hunyuan_job_status_ai(self, job_id: str):CODE
LOWaddon.py2397 def import_generated_asset_hunyuan(self, *args, **kwargs):CODE
LOWaddon.py2400 def import_generated_asset_hunyuan_ai(self, name: str , zip_file_url: str):CODE
LOWaddon.py39def get_blendermcp_addon_preferences(context=None):CODE
LOWaddon.py1309 def create_rodin_job_main_site(CODE
LOWaddon.py1385 def poll_rodin_job_status_main_site(self, subscription_key: str):CODE
LOWaddon.py1404 def poll_rodin_job_status_fal_ai(self, request_id: str):CODE
LOWaddon.py1494 def import_generated_asset_main_site(self, task_uuid: str, name: str):CODE
LOWaddon.py1563 def import_generated_asset_fal_ai(self, request_id: str, name: str):CODE
LOWaddon.py1750 def get_sketchfab_model_preview(self, uid):CODE
LOWaddon.py2111 def get_tencent_cloud_sign_headers(CODE
LOWaddon.py2200 def create_hunyuan_job_main_site(CODE
LOWaddon.py2270 def create_hunyuan_job_local_site(CODE
LOWtest_set_texture_version_guard.py34def test_keeps_separate_rgb_for_legacy():CODE
LOWtest_set_texture_version_guard.py40def test_socket_name_locals_present():CODE
LOWtest_set_texture_version_guard.py53def test_no_literal_separate_rgb_output_indexing():CODE
LOWsrc/blender_mcp/server.py728def get_sketchfab_model_preview(CODE
LOWsrc/blender_mcp/server.py1103def import_generated_asset_hunyuan(CODE
Redundant / Tautological Comments5 hits · 6 pts
SeverityFileLineSnippetContext
LOWaddon.py1527 # Close the fileCOMMENT
LOWaddon.py1592 # Close the fileCOMMENT
LOWsrc/blender_mcp/server.py84 # Check if we've received a complete JSON objectCOMMENT
LOWsrc/blender_mcp/server.py329 # Read the fileCOMMENT
LOWsrc/blender_mcp/telemetry.py75 # Check if disabled via environment variablesCOMMENT
Deep Nesting12 hits · 6 pts
SeverityFileLineSnippetContext
LOWaddon.py196CODE
LOWaddon.py560CODE
LOWaddon.py591CODE
LOWaddon.py928CODE
LOWaddon.py1419CODE
LOWaddon.py1494CODE
LOWaddon.py1836CODE
LOWaddon.py2200CODE
LOWaddon.py2270CODE
LOWsrc/blender_mcp/server.py482CODE
LOWsrc/blender_mcp/server.py536CODE
LOWsrc/blender_mcp/server.py66CODE
Unused Imports4 hits · 3 pts
SeverityFileLineSnippetContext
LOWsrc/blender_mcp/server.py5CODE
LOWsrc/blender_mcp/server.py11CODE
LOWsrc/blender_mcp/__init__.py12CODE
LOWsrc/blender_mcp/__init__.py12CODE
AI Structural Patterns1 hit · 0 pts
SeverityFileLineSnippetContext
LOWaddon.py1416CODE