.ai-summary{background:#f9fafb;border-left:3px solid #0d9488;padding:16px 20px;margin:16px 0;font-size:15px;line-height:1.7;color:#374151} .score-hero{text-align:center;padding:32px 16px;border:1px solid #e5e7eb;margin:16px 0} .score-hero .big-score{font-family:ui-monospace,'SF Mono',monospace;font-size:3.5rem;font-weight:700;color:#0d9488;line-height:1} .score-hero .score-sub{font-size:14px;color:#6b7280;margin:4px 0 12px} .badges{display:flex;gap:8px;justify-content:center;flex-wrap:wrap} .signals-grid{display:grid;grid-template-columns:repeat(auto-fit,minmax(200px,1fr));gap:12px;margin:16px 0} .signal-card{border:1px solid #e5e7eb;padding:16px} .signal-card .sig-name{font-size:12px;color:#6b7280;font-weight:600;text-transform:uppercase;letter-spacing:0.03em;margin-bottom:4px} .signal-card .sig-val{font-family:ui-monospace,'SF Mono',monospace;font-size:1.5rem;font-weight:700;color:#1a1a1a} .signal-card .sig-desc{font-size:13px;color:#6b7280;margin-top:6px} .caps-list{list-style:none;padding:0;margin:12px 0} .caps-list li{padding:6px 0;border-bottom:1px solid #f3f4f6;font-size:14px} .caps-list li::before{content:"→ ";color:#0d9488;font-weight:700} .alt-grid{display:grid;grid-template-columns:repeat(auto-fit,minmax(200px,1fr));gap:12px;margin:16px 0} .alt-card{border:1px solid #e5e7eb;padding:16px;text-decoration:none;color:inherit;transition:border-color 0.2s} .alt-card:hover{border-color:#0d9488;text-decoration:none} .alt-card .alt-name{font-weight:700;font-size:15px;color:#1a1a1a;margin-bottom:4px} .alt-card .alt-score{font-family:ui-monospace,'SF Mono',monospace;font-size:13px;color:#0d9488} .alt-card .alt-cat{font-size:12px;color:#6b7280} .faq-section{margin:24px 0} .faq-item{border-bottom:1px solid #e5e7eb;padding:16px 0} .faq-item:first-child{border-top:1px solid #e5e7eb} .faq-q{font-weight:700;font-size:1rem;color:#1a1a1a;margin-bottom:8px} .faq-a{font-size:15px;color:#374151;line-height:1.7} .badge-embed{background:#f5f5f5;padding:16px;margin:12px 0} .badge-embed pre{user-select:all;cursor:pointer;font-size:12px;margin:8px 0 0}

Is ModelContextProtocol- MCP Server Safe? Trust Score: 65.3/100

Independent trust assessment for the ModelContextProtocol- MCP server. Category: productivity. Source: github.

ModelContextProtocol- is an MCP server with a Nerq Trust Score of 65.3/100 (C). Ranked #2940 of 31275 MCP servers on Nerq. Not yet Nerq Verified (requires 70+). Its strongest signal is compliance (100/100). Last verified: 2026-04-28.
65.3
out of 100 — Nerq MCP Server Trust Score
C MCP Server productivity

Trust Assessment

Moderate — ModelContextProtocol- shows mixed trust signals. Some areas are strong while others could be improved. Review the full KYA report before integrating into production.

Trust Signal Breakdown

Security
0
Code quality, vulnerability exposure, and security practices.
Compliance
100
Regulatory alignment. EU AI Act risk class: minimal.
Maintenance
1
Update frequency, issue responsiveness, active development.
Documentation
1
README quality, API docs, usage examples.
Popularity
0
Community adoption. 0 stars on github.

Details

Authorwaelby99
Categoryproductivity
Stars0
Sourcehttps://github.com/waelby99/ModelContextProtocol-
ProtocolMCP (Model Context Protocol)
Popularity#2940 of 31275 MCP servers
Frameworksanthropic · mcp

Higher-Rated MCP Servers in productivity

Frequently Asked Questions

Is ModelContextProtocol- MCP server safe to use?
ModelContextProtocol- has a Nerq Trust Score of 65.3/100, earning a C grade. Moderate — ModelContextProtocol- shows mixed trust signals. Some areas are strong while others could be improved. Review the full KYA report before integrating into production. Its strongest signal is compliance (100/100). It has not yet reached the Nerq Verified threshold of 70. Always review the full KYA report before integrating any MCP server into production.
What is ModelContextProtocol-'s trust score?
Nerq assigns ModelContextProtocol- a trust score of 65.3 out of 100, with a grade of C. This score is computed from security, compliance, maintenance activity, documentation quality, and community adoption (0 stars). Compliance score: 100/100. EU AI Act risk class: minimal. Scores are updated daily based on the latest publicly available signals.
Are there higher-rated alternatives to ModelContextProtocol-?
In the productivity category, higher-rated MCP servers include mcp-sequentialthinking-tools, che-apple-mail-mcp, yonote-mcp (scores: 81, 74, 74). ModelContextProtocol- scores 65.3/100. When choosing between MCP servers, consider security (0), maintenance (1), and documentation (1). Use Nerq's KYA endpoint for detailed analysis.

Badge Embed

Nerq Trust Score for ModelContextProtocol-

Add this trust badge to your README:

[![Nerq Trust Score](https://nerq.ai/badge/ModelContextProtocol-)](https://nerq.ai/mcp/modelcontextprotocol)
Check MCP server trust
Full KYA report for ModelContextProtocol- · Preflight API Safety Report
Explore MCP ecosystem
All MCP servers · Agent safety · Compare
API docs · Trust Oracle

Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence before integrating any MCP server.

We use cookies for analytics and caching. Privacy Policy