Is Mcp For Blender Safe?
Mcp For Blender — Nerq Trust Score 64.5/100 (C+ grade). Score based on 2 independent trust signals. Last analyzed: 2026-11-01
Mcp For Blender is a Python package with a Nerq Trust Score of 64.5/100 (C+), based on 3 independent data dimensions. Last analyzed: 2026-11-01 Security: 90/100. Popularity: 75/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-11-01. Machine-readable data (JSON).
Is Mcp For Blender safe?
Trust Score Breakdown — Mcp For Blender has a Nerq Trust Score of 64.5/100 (C+). Measured across 2 independent trust signals (as of 2026-11-01).
What is Mcp For Blender's trust score?
Mcp For Blender has a Nerq Trust Score of 64.5/100, earning a C+ grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Mcp For Blender?
Mcp For Blender's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Mcp For Blender and who maintains it?
| Author | Unknown |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Mcp For Blender
What is Mcp For Blender?
Mcp For Blender is a Python package — Open source Blender integration through the Model Context Protocol (not affiliated with Blender Foundation).
How to Verify Safety
Run pip audit or safety check. Review on PyPI for download stats.
You can also check the trust score via API: GET /v1/preflight?target=mcp-for-blender
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Mcp For Blender has a Nerq Trust Score of 64/100 (C+). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Mcp For Blender has a Trust Score of 64/100 (C+).
- The score is a measured composite — it is not a suitability judgment. Evaluate the individual signals against your own requirements.
- Query the current measured values via the Nerq API.
Frequently Asked Questions
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Disclaimer: Nerq trust scores are automated measurements based on publicly available signals. They are not endorsements, verdicts, or guarantees of suitability. Always evaluate the signals against your own requirements.