Is Chroma Mcp Safe?
Chroma Mcp — Nerq Trust Score 62.5/100 (C+ grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-21
Chroma Mcp is a Python package with a Nerq Trust Score of 62.5/100 (C+), based on 3 independent data dimensions. Last analyzed: 2026-03-21 Security: 90/100. Popularity: 60/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-21. Machine-readable data (JSON).
Is Chroma Mcp safe?
Trust Score Breakdown — Chroma Mcp has a Nerq Trust Score of 62.5/100 (C+). Measured across 2 independent trust signals (as of 2026-03-21).
What is Chroma Mcp's trust score?
Chroma Mcp has a Nerq Trust Score of 62.5/100, 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 Chroma Mcp?
Chroma Mcp's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Chroma Mcp and who maintains it?
| Author | Unknown |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Chroma Mcp
What is Chroma Mcp?
Chroma Mcp is a Python package — Chroma MCP Server - Vector Database Integration for LLM Applications.
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=chroma-mcp
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Chroma Mcp has a Nerq Trust Score of 62/100 (C+). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Chroma Mcp has a Trust Score of 62/100 (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.