Repository Analysis

ahujasid/blender-mcp

Open-source MCP to use Blender with any LLM

29.5 Moderate AI signal View on GitHub

Analysis Overview

This report presents the forensic synthetic code analysis of ahujasid/blender-mcp, a Python project with 24,019 GitHub stars. SynthScan v2.0 examined 5,229 lines of code across 9 source files, recording 148 pattern matches distributed across 7 syntactic categories. The overall adjusted score of 29.5 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).

29.5
Adjusted Score
29.5
Raw Score
100%
Time Factor
2026-07-14
Last Push
24.0K
Stars
Python
Language
5.2K
Lines of Code
9
Files
148
Pattern Hits
2026-07-14
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

This chart maps the temporal evolution of the adjusted synthetic code score across successive scan runs. An upward trajectory indicates ongoing incorporation of AI-generated code or expanding LLM-assisted scaffolding; a stable or declining trajectory may reflect active human refactoring, code removal, or the adoption of stricter authorship policies. The dashed secondary line (right axis) independently tracks total raw pattern hit count, which can diverge from the normalised score when codebase size changes significantly between scans.

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 121

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 148 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.py1406 print("Error: Child is not a mesh object.")CODE
MEDIUMaddon.py1409 print("Error: Expected an empty node with one mesh child or a single mesh object.")CODE
MEDIUMaddon.py1412 print("Error: Expected an empty node with one mesh child or a single mesh object.")CODE
MEDIUMaddon.py2288 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.py1178 print(f"Error in set_texture: {str(e)}")CODE
MEDIUMaddon.py1376 print("Error: No objects were imported.")CODE
MEDIUMaddon.py1389 print("Error: Expected an empty node with one mesh child or a single mesh object.")CODE
MEDIUMaddon.py218def execute_wrapper():CODE
MEDIUMaddon.py555def 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.py488 except Exception as e:CODE
LOWaddon.py505 except Exception as e:CODE
LOWaddon.py1422 except Exception as e:CODE
LOWaddon.py2287 except Exception as e:CODE
LOWaddon.py2336 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.py521 except Exception as e:CODE
LOWaddon.py552 except Exception as e:CODE
LOWaddon.py653 except Exception as e:CODE
LOWaddon.py790 except Exception as e:CODE
LOWaddon.py863 except Exception as e:CODE
LOWaddon.py875 except Exception as e:CODE
LOWaddon.py1177 except Exception as e:CODE
LOWaddon.py1283 except Exception as e:CODE
LOWaddon.py1315 except Exception as e:CODE
LOWaddon.py1472 except Exception as e:CODE
LOWaddon.py1502 except Exception as e:CODE
LOWaddon.py1537 except Exception as e:CODE
LOWaddon.py1563 except Exception as e:CODE
LOWaddon.py1603 except Exception as e:CODE
LOWaddon.py1687 except Exception as e:CODE
LOWaddon.py1773 except Exception as e:CODE
LOWaddon.py1996 except Exception as e:CODE
LOWaddon.py2192 except Exception as e:CODE
LOWaddon.py2209 except Exception as e:CODE
LOWaddon.py2249 except Exception as e:CODE
LOWaddon.py2257 except Exception as e:CODE
LOWaddon.py2403 except Exception as e:CODE
LOWaddon.py2412 except Exception as e:CODE
LOWaddon.py2616 except Exception as e:CODE
LOWsrc/blender_mcp/server.py46 except Exception as e:CODE
LOWsrc/blender_mcp/server.py56 except Exception as e:CODE
LOWsrc/blender_mcp/server.py98 except Exception as e:CODE
LOWsrc/blender_mcp/server.py166 except Exception as e:CODE
LOWsrc/blender_mcp/server.py185 except Exception as e:CODE
40 more matches not shown…
Self-Referential Comments10 hits · 33 pts
SeverityFileLineSnippetContext
MEDIUMaddon.py495 # Create a local namespace for executionCOMMENT
MEDIUMaddon.py2350 # Create a temporary directoryCOMMENT
MEDIUMaddon.py586 # Create a new world if none existsCOMMENT
MEDIUMaddon.py709 # Create a new material with the downloaded texturesCOMMENT
MEDIUMaddon.py802 # Create a temporary directory to store the model and its dependenciesCOMMENT
MEDIUMaddon.py824 # Create the directory structure for the included fileCOMMENT
MEDIUMaddon.py928 # Create a new materialCOMMENT
MEDIUMaddon.py2575 # Create a new server instanceCOMMENT
MEDIUMsrc/blender_mcp/server.py208# Create the MCP server with lifespan supportCOMMENT
MEDIUMsrc/blender_mcp/server.py241 # Create a new connection if neededCOMMENT
Hyper-Verbose Identifiers16 hits · 9 pts
SeverityFileLineSnippetContext
LOWaddon.py266 def _execute_command_internal(self, command):CODE
LOWaddon.py2295 def poll_hunyuan_job_status_ai(self, job_id: str):CODE
LOWaddon.py2339 def import_generated_asset_hunyuan(self, *args, **kwargs):CODE
LOWaddon.py2342 def import_generated_asset_hunyuan_ai(self, name: str , zip_file_url: str):CODE
LOWaddon.py39def get_blendermcp_addon_preferences(context=None):CODE
LOWaddon.py1251 def create_rodin_job_main_site(CODE
LOWaddon.py1327 def poll_rodin_job_status_main_site(self, subscription_key: str):CODE
LOWaddon.py1346 def poll_rodin_job_status_fal_ai(self, request_id: str):CODE
LOWaddon.py1436 def import_generated_asset_main_site(self, task_uuid: str, name: str):CODE
LOWaddon.py1505 def import_generated_asset_fal_ai(self, request_id: str, name: str):CODE
LOWaddon.py1692 def get_sketchfab_model_preview(self, uid):CODE
LOWaddon.py2053 def get_tencent_cloud_sign_headers(CODE
LOWaddon.py2142 def create_hunyuan_job_main_site(CODE
LOWaddon.py2212 def create_hunyuan_job_local_site(CODE
LOWsrc/blender_mcp/server.py726def get_sketchfab_model_preview(CODE
LOWsrc/blender_mcp/server.py1101def import_generated_asset_hunyuan(CODE
Redundant / Tautological Comments5 hits · 6 pts
SeverityFileLineSnippetContext
LOWaddon.py1469 # Close the fileCOMMENT
LOWaddon.py1534 # Close the fileCOMMENT
LOWsrc/blender_mcp/server.py79 # Check if we've received a complete JSON objectCOMMENT
LOWsrc/blender_mcp/server.py328 # Read the fileCOMMENT
LOWsrc/blender_mcp/telemetry.py75 # Check if disabled via environment variablesCOMMENT
Deep Nesting12 hits · 6 pts
SeverityFileLineSnippetContext
LOWaddon.py196CODE
LOWaddon.py524CODE
LOWaddon.py555CODE
LOWaddon.py878CODE
LOWaddon.py1361CODE
LOWaddon.py1436CODE
LOWaddon.py1778CODE
LOWaddon.py2142CODE
LOWaddon.py2212CODE
LOWsrc/blender_mcp/server.py480CODE
LOWsrc/blender_mcp/server.py534CODE
LOWsrc/blender_mcp/server.py61CODE
Unused Imports4 hits · 3 pts
SeverityFileLineSnippetContext
LOWsrc/blender_mcp/server.py5CODE
LOWsrc/blender_mcp/server.py10CODE
LOWsrc/blender_mcp/__init__.py12CODE
LOWsrc/blender_mcp/__init__.py12CODE
AI Structural Patterns1 hit · 0 pts
SeverityFileLineSnippetContext
LOWaddon.py1358CODE