.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 BerriAI/litellm MCP Server Safe? Trust Score: 71.7/100

Independent trust assessment for the BerriAI/litellm MCP server. Category: infrastructure. Source: github.

BerriAI/litellm is an MCP server with a Nerq Trust Score of 71.7/100 (B). Ranked #24 of 31183 MCP servers on Nerq. Nerq Verified — recommended for production use. Its strongest signal is compliance (80/100). Last verified: 2026-04-28.
71.7
out of 100 — Nerq MCP Server Trust Score
B MCP Server infrastructure verified

Trust Assessment

Trusted — BerriAI/litellm demonstrates solid trust signals and meets the Nerq Verified threshold. It shows good security practices, active maintenance, and healthy community adoption.

Trust Signal Breakdown

Security
0
Code quality, vulnerability exposure, and security practices.
Compliance
80
Regulatory alignment. EU AI Act risk class: minimal.
Maintenance
1
Update frequency, issue responsiveness, active development.
Documentation
0
README quality, API docs, usage examples.
Popularity
1
Community adoption. 36,444 stars on github.

Details

AuthorBerriAI
Categoryinfrastructure
Stars36,444
Sourcehttps://github.com/BerriAI/litellm
ProtocolMCP (Model Context Protocol)
Popularity#24 of 31183 MCP servers

Higher-Rated MCP Servers in infrastructure

Frequently Asked Questions

Is BerriAI/litellm MCP server safe to use?
BerriAI/litellm has a Nerq Trust Score of 71.7/100, earning a B grade. Trusted — BerriAI/litellm demonstrates solid trust signals and meets the Nerq Verified threshold. It shows good security practices, active maintenance, and healthy community adoption. Its strongest signal is compliance (80/100). It is Nerq Verified, meeting the 70+ trust threshold. Always review the full KYA report before integrating any MCP server into production.
What is BerriAI/litellm's trust score?
Nerq assigns BerriAI/litellm a trust score of 71.7 out of 100, with a grade of B. This score is computed from security, compliance, maintenance activity, documentation quality, and community adoption (36,444 stars). Compliance score: 80/100. EU AI Act risk class: minimal. Scores are updated daily based on the latest publicly available signals.
Are there higher-rated alternatives to BerriAI/litellm?
In the infrastructure category, higher-rated MCP servers include auth0/auth0-mcp-server, gcloud-mcp, strava-mcp (scores: 85, 81, 80). BerriAI/litellm scores 71.7/100. When choosing between MCP servers, consider security (0), maintenance (1), and documentation (0). Use Nerq's KYA endpoint for detailed analysis.

Badge Embed

Nerq Trust Score for BerriAI/litellm

Add this trust badge to your README:

[![Nerq Trust Score](https://nerq.ai/badge/BerriAI/litellm)](https://nerq.ai/mcp/berriailitellm)
Check MCP server trust
Full KYA report for BerriAI/litellm · 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