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Comparison

AWS Bedrock Data Automation vs digline

AWS Bedrock Data Automation is an MCP server published by awslabs. Marketplaces we read that list it: 1 (Docker MCP Catalog). digline is an MCP server published by digline.dev. Marketplaces we read that list it: 2 (Official MCP Registry, PyPI (MCP servers)). As of our marketplace pass on 2026-10-24. 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
MarketplaceAWS Bedrock Data Automationdigline
Docker MCP Catalog Listed
Version: sha256:ca5c8e3d1bf0
Forks (GitHub): 1 826
Pulls (Docker Hub): 14 559
Stars (Docker Hub): 0
Stars (GitHub): 9 823
Not marked · First seen
Not listed
Official MCP Registry Not listed Listed
Version: 0.6.2
Downloads/month (PyPI): 1 700
Downloads/week (PyPI): 582
Forks (GitHub): 2
Stars (GitHub): 9
Not marked · First seen
PyPI (MCP servers) Not listed Listed
Version: 0.6.2
Downloads/month (PyPI): 1 700
Downloads/week (PyPI): 582
Forks (GitHub): 2
Stars (GitHub): 9
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

AWS Bedrock Data Automation vs digline
FactAWS Bedrock Data Automationdigline
Marketplaces that list it (differs)1 (worse)2 (better)
Stars (GitHub) (differs)9 823 (better)9 (worse)
Pulls (Docker Hub) (differs)14 559No figure on Docker Hub
Forks (GitHub) (differs)1 826 (better)2 (worse)
Last release (differs)Not published2026-10-22
Where it runs (differs)On your machine (mcp/aws-bedrock-data-automation-mcp-server)On your machine (digline-mcp)
Transportstdiostdio
Tools it declares (differs)3Not published
Environment variables it asks for (differs)3, secrets among them: 0Not published
LicenceApache-2.0Apache-2.0
Repository (differs)github.com/awslabs/mcpgithub.com/digline/digline
Changes in the last 7 days (differs)06
First seen (differs)2026-10-112026-10-12

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

AWS Bedrock Data Automation

In its own words, on Docker MCP Catalog:

Analyze documents, images, videos, and audio.

digline

In its own words, on Official MCP Registry:

Read, measure and explain LLM eval runs of a digline suite. Cannot promote a baseline.

How to run each

AWS Bedrock Data Automation As a local MCP server: Docker image

Claude Code
claude mcp add --transport stdio aws-bedrock-data-automation -- docker run -i --rm mcp/aws-bedrock-data-automation-mcp-server

digline As a local MCP server: PyPI package

Claude Code
claude mcp add --transport stdio digline-mcp -- uvx digline-mcp --root "<YOUR_ROOT>"

Requires: --root

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

Tools each declares

The marketplaces of digline publish no list of tools, so we do not compare tools.

Settings each asks for

The marketplaces of digline publish no settings it asks for, so we do not compare settings.

What it can do: AWS Bedrock Data Automation · What it can do: digline · Compare two other plugins

Data comes from the Docker MCP Catalog (desktop.docker.com/mcp/catalog) and Docker Hub. Data comes from the Official MCP Registry (registry.modelcontextprotocol.io), CC0 1.0. Package data comes from the Python Package Index (pypi.org). 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