Trust Assessment
Trusted — ml-mcp-server demonstrates solid trust signals and meets the Nerq Verified threshold. It shows good security practices, active maintenance, and healthy community adoption.
Is ml-mcp-server MCP Server Safe? Trust Score: 82.1/100
Independent trust assessment for the ml-mcp-server MCP server. Category: other. Source: github.
ml-mcp-server is a other MCP server with a Nerq Trust Score of 82.1/100 (grade: A). Its strongest signal is compliance (87/100). It lists 3 capabilities. It is Nerq Verified (trust score >= 70). Assessment: Trusted — strong signals.
82.1
out of 100 — Nerq MCP Server Trust Score
A
MCP Server
other
verified
Trust Signal Breakdown
Security
0
Code quality, vulnerability exposure, and security practices.
Compliance
87
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.
Capabilities
- AI assistants integration
- WordPress management
- MCP protocol support
Details
| Author | wplaunchify |
| Category | other |
| Stars | 0 |
| Source | https://github.com/wplaunchify/ml-mcp-server |
| Protocol | MCP (Model Context Protocol) |
| Popularity | #58 of 22026 MCP servers |
| Frameworks | anthropic · mcp |
Higher-Rated MCP Servers in other
Frequently Asked Questions
Is ml-mcp-server MCP server safe to use?
ml-mcp-server has a Nerq Trust Score of 82.1/100, earning a A grade. Trusted — ml-mcp-server 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 (87/100). It is Nerq Verified, meeting the 70+ trust threshold. Always review the full KYA report before integrating any MCP server into production.
What is ml-mcp-server's trust score?
Nerq assigns ml-mcp-server a trust score of 82.1 out of 100, with a grade of A. This score is computed from security, compliance, maintenance activity, documentation quality, and community adoption (0 stars). Compliance score: 87/100. EU AI Act risk class: minimal. Scores are updated daily based on the latest publicly available signals.
Are there higher-rated alternatives to ml-mcp-server?
In the other category, higher-rated MCP servers include VincentKaufmann/noapi-google-search-mcp (scores: 82). ml-mcp-server scores 82.1/100. When choosing between MCP servers, consider security (0), maintenance (1), and documentation (1). Use Nerq's KYA endpoint for detailed analysis.
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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.