Is Context Mcp Safe?
Context Mcp — Nerq Trust Score 50.5/100 (C- grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-24
Context Mcp is a Rust crate with a Nerq Trust Score of 50.5/100 (C-), based on 3 independent data dimensions. Last analyzed: 2026-03-24 Security: 90/100. Popularity: 15/100. Data sourced from crates.io registry, GitHub, NVD, and RustSec advisory database. Last updated: 2026-03-24. Machine-readable data (JSON).
Is Context Mcp safe?
Trust Score Breakdown — Context Mcp has a Nerq Trust Score of 50.5/100 (C-). Measured across 2 independent trust signals (as of 2026-03-24).
What is Context Mcp's trust score?
Context Mcp has a Nerq Trust Score of 50.5/100, 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 Context Mcp?
Context Mcp's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Context Mcp and who maintains it?
| Author | Unknown |
| Category | Rust Crates |
| Source | N/A |
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Safety Guide: Context Mcp
What is Context Mcp?
Context Mcp is a Rust crate — MCP server for context storage, text-based retrieval, and temporal tracking with optional persistence.
How to Verify Safety
Run cargo audit. Review on crates.io for activity.
You can also check the trust score via API: GET /v1/preflight?target=context-mcp
Key Safety Concerns for Rust crate
When evaluating any Rust crate, watch for: dependency vulnerabilities, unsafe code, maintenance status.
Measured Signals
Context Mcp has a Nerq Trust Score of 50/100 (C-). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Context Mcp has a Trust Score of 50/100 (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.