harvest
Related Servers
Alternatives to harvest
No user-submitted related servers found.
Related Servers
- AlicenseAqualityAmaintenanceTell your AI agent what you want a model to do. It searches Hugging Face for each part of the job and tells you which parts already exist there: which are an exact fit, which to fine-tune, which to train, and which are just code. Every model it names is real, current, and sized for your hardware.3172 npm1MIT
- AlicenseAqualityDmaintenanceEnables access to the Hugging Face Hub API to search and retrieve information about machine learning models, datasets, and their metadata. Provides comprehensive tools for exploring the Hugging Face ecosystem including model details, dataset information, and parquet file access.8MIT
- FlicenseNot gradedqualityDmaintenanceEnables natural language queries to search GitHub for trending repositories by topic, summarize project READMEs, and compare multiple repos to uncover ecosystem patterns.2-
- AlicenseNot gradedqualityBmaintenanceEnables agents to find code by describing its behaviour rather than guessing file names, returning ranked file:line snippets that cost far fewer tokens than grep-then-read. Also surfaces neighbouring implementations, callers and tests around a location you already know, indexing local paths or git URLs locally on CPU.428 npm1MIT
- AlicenseNot gradedqualityBmaintenanceSearch and retrieve models, datasets, and spaces from Hugging Face Hub. Enables browsing trending items and getting detailed info on repos.565 npmMIT
- AlicenseNot gradedqualityDmaintenanceProvides direct access to the Hugging Face Hub for searching models and datasets, fetching metadata, and running inference on text, images, and audio.MIT
TDQS
Scored across 5 tools
The retrieval tools (search, expert, latest) are distinct in their modes: general search, expert-curated queries, and trending items. The composition tools (compose, pack) overlap slightly as both create mixes from a catalog, but pack adds a specific output format with coverage scores, reducing ambiguity.
All tool names are single lowercase verbs (search, expert, latest, compose, pack) following a uniform pattern. No mixing of styles or inconsistent verb forms.
With 5 tools covering search and composition workflows, the count is well-scoped and each tool serves a clear purpose. It is within the ideal 3-15 range and feels complete for the domain.
The tool set covers the core lifecycle: retrieving items via search, expert, and latest, then composing and packaging them. Minor gaps exist like no direct item detail fetch, but the returned HarvestItem[] likely includes necessary metadata, so workflows are not blocked.