MLCBakery MCP Server provides a bridge between AI assistants and machine learning datasets through the Model Context Protocol. Built by Jonathan Lebensold, this implementation enables MCP-compatible clients to search, validate, and retrieve ML Croissant metadata for datasets stored in the MLCBakery system. The server exposes tools for dataset discovery, preview generation, and metadata validation, making it particularly valuable for researchers and data scientists who need to reference or validate machine learning datasets during AI-assisted workflows without switching contexts.
Cognium trust score
50%
Tier
Unverified
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
Returns 7 tools: search_skills, get_skill, list_leaderboard, get_trust_breakdown, resolve_composition, plus the ChatGPT-connector search and fetch. Every tool is annotated read-only.
Resolve this skill directly via MCP tools/call get_skill.