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DataLabel MCP Server

Integrates data labeling workflows with AI IDEs via 12 tools, 6 resources, and 3 prompt templates, enabling LLM-assisted pre-labeling, inter-annotator agreement analysis, and conflict adjudication.

Unscored visibility — 0/0 applicable dimensions scored
○ Schema Quality ○ Protocol — Reliability ○ Docs & Maintenance ○ Security Hygiene — Schema Interpretability
A remote probe is needed for Protocol and Reliability scores.
Schema Quality
25% weight
Protocol Compliance
20% weight
Reliability
20% weight
Docs & Maintenance
15% weight
Security Hygiene
20% weight
30-Day Trend

30-Day Uptime

30 days ago Today
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