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Comparison

tabh2o vs Welt

tabh2o is no longer listed on any marketplace we read: these are its last known data, as of 2026‑10‑22.

tabh2o is a plugin bundle for AI coding tools published by h2oai. No marketplace we read lists it any more. Welt is an MCP server published by welt.ergodic.dev. Marketplaces we read that list it: 1 (Official MCP Registry). As of our marketplace pass on 2026-11-13. 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

Where each is published
Marketplacetabh2oWelt
Community marketplace h2oai/tabh2o Removed on 2026-10-22
Version: not stated
Forks (GitHub): 1
Stars (GitHub): 7
Not marked · First seen
Not listed
Official MCP Registry Not listed Listed
Version: 1.0.0
No figure published
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

tabh2o vs Welt
Facttabh2ono longer listed · Welt
Marketplaces that list it (differs)01
Stars (GitHub) (differs)7No figure on GitHub
Forks (GitHub) (differs)1No figure on GitHub
Last releaseNot publishedNot published
Where it runs (differs)Installs as a plugin bundleRemote server (welt.ergodic.dev/mcp)
Transport (differs)Not statedStreamable HTTP
Tools it declaresNot publishedNot published
Environment variables it asks forNot publishedNot published
Parts of the bundle (differs)1Not a bundle
LicenceNot statedNot stated
Repository (differs)github.com/h2oai/tabh2oNot stated
Changes in the last 7 days00
First seen (differs)2026-10-202026-10-19
Endpoint at the last check (differs)no remote endpoint we checkResponded 2 h ago

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 tabh2o

Plugins still listed whose own names, descriptions, tools and skills are closest in meaning to it. Comparable, not endorsed.

  • EasyDeploy AI

    Train AutoML models on CSV files and run predictions from Claude and other MCP clients.

    by easydeploy.ai · MCP server

    Listed on: Official MCP Registry · Describes nearly the same job

  • Predictalot

    Self-hosted MCP server for time-series forecasting and tabular ML via foundation models.

    by psyb0t · MCP server

    Listed on: Official MCP Registry · Describes nearly the same job

  • skforecast-ai

    Forecast time series in CSV files: deterministic skforecast workflows and the script that ran.

    by skforecast · MCP server

    Listed on: Official MCP Registry, Community GitHub marketplaces · Describes nearly the same job

  • Everyrow MCP Server

    Give your AI a research team. Forecast, score, classify, or research every row of a dataset.

    by futuresearch · MCP server

    Listed on: Official MCP Registry · Describes nearly the same job

  • datarobot-agent-skills

    DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…

    by datarobot-oss · Plugin bundle

    Listed on: Claude Code: claude-plugins-official, Claude: knowledge-work-plugins · Describes nearly the same job

  • cast

    Forecasting Engineer — Time series forecasting — demand prediction, trend analysis, seasonal decomposition

    by tonone-ai · Plugin bundle

    Listed on: Community GitHub marketplaces · Describes nearly the same job

Its card, with similar plugins by marketplace

What each says it does

tabh2o

In its own words, on Community GitHub marketplaces:

Makes predictions on tabular data using the TabH2O foundation model API. Supports classification, regression (including timeseries forecasting), clustering, missing value imputation, and anomaly detection, with optional global feature importance for classification and regression. Send data as JSON or CSV, get results back.

Welt

In its own words, on Official MCP Registry:

Run Welt's tabular, causal and forecasting models on your data. Hosted; OAuth sign-in.

How to run each

tabh2o

No data for an automatic command: what its marketplaces declare does not say unambiguously how to connect it.

Welt As a remote MCP server

Claude Code
claude mcp add --transport http welt https://welt.ergodic.dev/mcp

Commands built only from what the marketplaces declare; the full set for every client is on each card.

Only Welt 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

Neither one's marketplaces publish the settings it asks for.

What it can do: tabh2o · What it can do: Welt · Compare two other plugins

Data comes from public marketplace files in GitHub repositories of their authors. Data comes from the Official MCP Registry (registry.modelcontextprotocol.io), CC0 1.0. Figures come from our own regular passes over the marketplaces, last read on . We publish no contact details for plugin publishers.

Where the data comes from: how the catalog is built