Ext Ops Panel
Open dashboard
Comparison

SQLite (Archived) vs data-engineering

SQLite (Archived) is an MCP server published by modelcontextprotocol. Marketplaces we read that list it: 1 (Docker MCP Catalog). data-engineering is a plugin bundle for AI coding tools published by paulasilvatech. Marketplaces we read that list it: 1 (Community GitHub marketplaces). As of our marketplace pass on 2026-10-21. This pair was picked by a reader, not by our comparison rule, so search engines are asked not to index the page.

Where each is published

Where each is published
MarketplaceSQLite (Archived)data-engineering
Docker MCP Catalog Listed
Version: sha256:efbc05ccace1
Forks (GitHub): 11 830
Pulls (Docker Hub): 74 351
Stars (Docker Hub): 16
Stars (GitHub): 91 419
Not marked · First seen
Not listed
Community marketplace gbb-acelerators/awesome-harness-primitives Not listed Listed
Version: 1.0.0
Forks (GitHub): 0
Stars (GitHub): 21
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

SQLite (Archived) vs data-engineering
FactSQLite (Archived)data-engineering
Marketplaces that list it11
Stars (GitHub) (differs)91 419 (better)21 (worse)
Pulls (Docker Hub) (differs)74 351No figure on Docker Hub
Forks (GitHub) (differs)11 830 (better)0 (worse)
Last releaseNot publishedNot published
Where it runs (differs)On your machine (mcp/sqlite)Installs as a plugin bundle
Transport (differs)stdioNot stated
Tools it declares (differs)6Not published
Environment variables it asks forNot publishedNot published
Parts of the bundle (differs)Not a bundle8
Licence (differs)NOASSERTIONMIT
Repository (differs)github.com/modelcontextprotocol/serversgithub.com/gbb-acelerators/awesome-harness-primitives
Changes in the last 7 days (differs)02
First seen (differs)2026-10-112026-10-19

Lines where the two differ have a tinted background and bold values. Where the data itself says which value is better (more marketplaces, a larger figure of the same marketplace, a fresher release, a verified mark on a marketplace that lists both), the better one is also marked green with ▲ and the worse one red with ▼. Where it runs, the transport, the tools, the settings, hooks, the bundle's parts, the licence and the week's changes are marked only as different: more or fewer is not better in itself.

What each says it does

SQLite (Archived)

In its own words, on Docker MCP Catalog:

Database interaction and business intelligence capabilities.

data-engineering

In its own words, on Community GitHub marketplaces:

Engineer and audit data systems: BigQuery pipeline cost and safety audits, Snowflake semantic views, SQL Server reconciliation and Oracle migration tooling, credit-risk data preparation, Kusto analytics, and Pinecone vector pipelines.

How to run each

SQLite (Archived) As a local MCP server: Docker image

Claude Code
claude mcp add --transport stdio sqlite -- docker run -i --rm mcp/sqlite

data-engineering As a Claude Code plugin

Claude Code
/plugin marketplace add gbb-acelerators/awesome-harness-primitives
/plugin install data-engineering@copilot-primitives-claude

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

Tools each declares

The marketplaces of data-engineering publish no list of tools, so we do not compare tools.

Settings each asks for

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

What it can do: SQLite (Archived) · What it can do: data-engineering · 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.

Where the data comes from: how the catalog is built