Needle Remote vs fine-tune-prep
fine-tune-prep is no longer listed on any marketplace we read: these are its last known data, as of 2026‑10‑18.
Needle Remote is an MCP server published by docker. Marketplaces we read that list it: 1 (Docker MCP Catalog). fine-tune-prep is a plugin bundle for AI coding tools published by barnburner121. No marketplace we read lists it any more. As of our marketplace pass on 2026-10-25. A plugin in this pair is no longer listed on any marketplace we read, so search engines are asked not to index the page.
Where each is published
| Marketplace | ||
|---|---|---|
| Docker MCP Catalog | Listed Version: not stated No figure published Not marked · First seen |
Not listed |
| Community marketplace barnburner121/claude-plugin-marketplace | Not listed | Removed on 2026-10-18 Version: 1.0.0 Forks (GitHub): 0 Stars (GitHub): 3 Not marked · First seen |
Each figure is the marketplace's own and is never added up across marketplaces. A marketplace that publishes no figure shows none: no number is not zero.
The facts side by side
| Fact | Needle Remote | fine-tune-prepno longer listed · |
|---|---|---|
| Marketplaces that list it (differs) | 1 | 0 |
| Stars (GitHub) (differs) | No figure on GitHub | 3 |
| Forks (GitHub) (differs) | No figure on GitHub | 0 |
| Last release | Not published | Not published |
| Where it runs (differs) | Remote server (mcp.needle.app/mcp) | On your machine (@barnburner121/plugin-hub-mcp) |
| Transport (differs) | Streamable HTTP | Not stated |
| Tools it declares | Not published | Not published |
| Environment variables it asks for (differs) | 1, secrets among them: 1 | Not published |
| Parts of the bundle (differs) | Not a bundle | 2 |
| Licence (differs) | Apache-2.0 | MIT |
| Repository (differs) | Not stated | github.com/barnburner121/claude-plugin-marketplace |
| Changes in the last 7 days | 0 | 0 |
| First seen (differs) | 2026-10-11 | 2026-10-14 |
| Endpoint at the last check (differs) | Answered with HTTP 301 (2 days ago) | no remote endpoint we check |
Lines where the two differ have a tinted background and bold values. No value is marked better or worse: a plugin no marketplace lists any more is shown with its last known data, which we do not rank against current figures.
What to use instead of fine-tune-prep
Plugins still listed whose own names, descriptions, tools and skills are closest in meaning to it. Comparable, not endorsed.
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Corpus-to-dataset pipeline for AI training data curation. Ingests sources, synthesizes examples, generates DPO/KTO preference pairs, applies decontamination, and exports to…
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Plan small custom models and fine-tunes: check the Hub, research options, write the spec in a planning repo.
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Validate and convert JSONL fine-tuning data across 11 AI providers. 13 tools.
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Create evaluation datasets in JSON, CSV, or JSONL format for Dokimos
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Fine-tune LLMs with Unsloth using GRPO or SFT: rewards, datasets, FP8, vision, MLX, export, mobile.
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Turn any document into a production-ready RAG dataset from Claude, Cursor, or any MCP host.
What each says it does
Needle Remote
Production-ready RAG service to search and retrieve data from your documents.
fine-tune-prep
Generate dataset preparation for model fine-tuning
How to run each
Needle Remote As a remote MCP server
claude mcp add --transport http needle https://mcp.needle.app/mcp
Requires: NEEDLE_API_KEY (secret)
fine-tune-prep
No data for an automatic command: what its marketplaces declare does not say unambiguously how to connect it.
Commands built only from what the marketplaces declare; the full set for every client is on each card.
Only Needle Remote has a remote endpoint we check. How we check endpoints
Tools each declares
Neither one's marketplaces publish a list of tools, so there is nothing to compare.
Settings each asks for
The marketplaces of fine-tune-prep publish no settings it asks for, so we do not compare settings.
What it can do: Needle Remote · What it can do: fine-tune-prep · Compare two other plugins
Data comes from the Docker MCP Catalog (desktop.docker.com/mcp/catalog) and Docker Hub. Data comes from public marketplace files in GitHub repositories of their authors. Figures come from our own regular passes over the marketplaces, last read on . We publish no contact details for plugin publishers.