Scrapezy vs Excel Semantic Normalizer
Scrapezy is an MCP server published by Scrapezy. Marketplaces we read that list it: 1 (Docker MCP Catalog). Excel Semantic Normalizer is an MCP server published by climik. Marketplaces we read that list it: 1 (Official MCP Registry). As of our marketplace pass on 2026-10-13. 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 | ||
|---|---|---|
| Docker MCP Catalog | Listed Version: sha256:7a19e9b36500 Forks (GitHub): 7 Pulls (Docker Hub): 40 837 Stars (Docker Hub): 3 Stars (GitHub): 14 Not marked · First seen |
Not listed |
| Official MCP Registry | Not listed | Listed Version: 0.5.0 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
| Fact | Scrapezy | Excel Semantic Normalizer |
|---|---|---|
| Marketplaces that list it | 1 | 1 |
| Stars (GitHub) (differs) | 14 | No figure on GitHub |
| Pulls (Docker Hub) (differs) | 40 837 | No figure on Docker Hub |
| Forks (GitHub) (differs) | 7 | No figure on GitHub |
| Last release | Not published | Not published |
| Where it runs (differs) | On your machine (mcp/scrapezy) | On your machine (https://github.com/climik/excel-normalizer/releases/download/v0.5.0/excel-normalizer-0.5.0.mcpb) |
| Transport | stdio | stdio |
| Tools it declares (differs) | 1 | Not published |
| Environment variables it asks for (differs) | 1, secrets among them: 1 | Not published |
| Licence (differs) | MIT | Not stated |
| Repository (differs) | github.com/scrapezy/mcp | Not stated |
| Changes in the last 7 days | 0 | 0 |
| First seen | 2026-10-11 | 2026-10-11 |
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
Scrapezy
A Model Context Protocol server for Scrapezy that enables AI models to extract structured data from websites.
Excel Semantic Normalizer
Normalizes messy Excel spreadsheets into canonical JSON, mapping any headers to 19 standard fields.
How to run each
Scrapezy As a local MCP server: Docker image
claude mcp add --env "SCRAPEZY_API_KEY=<YOUR_SCRAPEZY_API_KEY>" --transport stdio scrapezy -- docker run -i --rm -e SCRAPEZY_API_KEY mcp/scrapezy
Requires: SCRAPEZY_API_KEY (secret)
Excel Semantic Normalizer
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.
Tools each declares
The marketplaces of Excel Semantic Normalizer publish no list of tools, so we do not compare tools.
Settings each asks for
The marketplaces of Excel Semantic Normalizer publish no settings it asks for, so we do not compare settings.
What it can do: Scrapezy · What it can do: Excel Semantic Normalizer · 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. Figures come from our own regular passes over the marketplaces, last read on . We publish no contact details for plugin publishers.