Is Mcp Server Safe?
Mcp Server — Nerq Trust Score 68.8/100 (B- grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-20
Mcp Server is a npm package with a Nerq Trust Score of 68.8/100 (B-), based on 3 independent data dimensions. Last analyzed: 2026-03-20 Security: 90/100. Popularity: 45/100. Data sourced from npm registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-20. Machine-readable data (JSON).
Is Mcp Server safe?
Trust Score Breakdown — Mcp Server has a Nerq Trust Score of 68.8/100 (B-). Measured across 2 independent trust signals (as of 2026-03-20).
What is Mcp Server's trust score?
Mcp Server has a Nerq Trust Score of 68.8/100, earning a B- grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Mcp Server?
Mcp Server's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Mcp Server and who maintains it?
| Author | srishtigautam |
| Category | npm Packages |
| Source | N/A |
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Safety Guide: Mcp Server
What is Mcp Server?
Mcp Server is a Node.js package — Heroku Platform MCP Server.
How to Verify Safety
Run npm audit to check for vulnerabilities. Review the package's GitHub repository for recent commits.
You can also check the trust score via API: GET /v1/preflight?target=@heroku/mcp-server
Key Safety Concerns for Node.js package
When evaluating any Node.js package, watch for: dependency vulnerabilities, malicious packages, typosquatting.
Measured Signals
Mcp Server has a Nerq Trust Score of 69/100 (B-). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Mcp Server has a Trust Score of 69/100 (B-).
- 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.