AWS Bedrock Data Automation vs llm-cost-optimizer
AWS Bedrock Data Automation is an MCP server published by awslabs. Marketplaces we read that list it: 1 (Docker MCP Catalog). llm-cost-optimizer is a plugin bundle for AI coding tools published by Alireza Rezvani. Marketplaces we read that list it: 1 (Community GitHub marketplaces). As of our marketplace pass on 2026-11-09. 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
| Marketplace |  AWS Bedrock Data Automation | |
|---|---|---|
| Docker MCP Catalog | Listed Version: sha256:ca5c8e3d1bf0 Forks (GitHub): 1 857 Pulls (Docker Hub): 15 189 Stars (Docker Hub): 0 Stars (GitHub): 9 892 Not marked · First seen |
Not listed |
| Community marketplace alirezarezvani/claude-skills | Not listed | Listed Version: 2.14.5 Forks (GitHub): 4 090 Stars (GitHub): 29 522 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 | AWS Bedrock Data Automation | llm-cost-optimizer |
|---|---|---|
| Marketplaces that list it | 1 | 1 |
| Stars (GitHub) (differs) | 9 892 (worse) | 29 522 (better) |
| Pulls (Docker Hub) (differs) | 15 189 | No figure on Docker Hub |
| Forks (GitHub) (differs) | 1 857 (worse) | 4 090 (better) |
| Last release (differs) | Not published | 2026-10-31 |
| Where it runs (differs) | On your machine (mcp/aws-bedrock-data-automation-mcp-server) | Installs as a plugin bundle |
| Transport (differs) | stdio | Not stated |
| Tools it declares (differs) | 3 | Not published |
| Environment variables it asks for (differs) | 3, secrets among them: 0 | Not published |
| Parts of the bundle (differs) | Not a bundle | 1 |
| Licence (differs) | Apache-2.0 | MIT |
| Repository (differs) | github.com/awslabs/mcp | github.com/alirezarezvani/claude-skills |
| Changes in the last 7 days | 0 | 0 |
| First seen (differs) | 2026-10-11 | 2026-10-14 |
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
Analyze documents, images, videos, and audio.
llm-cost-optimizer
Cut LLM API spend via model routing, prompt caching, prompt compression, and per-feature cost observability. Use when AI costs are too high, choosing between models, or launching an AI feature without cost architecture. NOT for RAG design or prompt quality (separate skills).
How to run each
AWS Bedrock Data Automation As a local MCP server: Docker image
claude mcp add --transport stdio aws-bedrock-data-automation -- docker run -i --rm mcp/aws-bedrock-data-automation-mcp-serverllm-cost-optimizer As a Claude Code plugin
/plugin marketplace add alirezarezvani/claude-skills
/plugin install llm-cost-optimizer@claude-code-skillsCommands built only from what the marketplaces declare; the full set for every client is on each card.
Tools each declares
The marketplaces of llm-cost-optimizer publish no list of tools, so we do not compare tools.
Settings each asks for
The marketplaces of llm-cost-optimizer publish no settings it asks for, so we do not compare settings.
What it can do: AWS Bedrock Data Automation · What it can do: llm-cost-optimizer · 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.