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Scrapezy vs io.github.bch1212/agentfetch

Scrapezy is an MCP server published by Scrapezy. Marketplaces we read that list it: 1 (Docker MCP Catalog). io.github.bch1212/agentfetch is an MCP server published by bch1212. 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

Where each is published
MarketplaceScrapezyio.github.bch1212/agentfetch
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: 1.0.1
Downloads/month (PyPI): 105
Downloads/week (PyPI): 43
Forks (GitHub): 0
Stars (GitHub): 3
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

Scrapezy vs io.github.bch1212/agentfetch
FactScrapezyio.github.bch1212/agentfetch
Marketplaces that list it11
Stars (GitHub) (differs)14 (better)3 (worse)
Pulls (Docker Hub) (differs)40 837No figure on Docker Hub
Forks (GitHub) (differs)7 (better)0 (worse)
Last releaseNot publishedNot published
Where it runs (differs)On your machine (mcp/scrapezy)On your machine (agentfetch-mcp)
Transportstdiostdio
Tools it declares (differs)1Not published
Environment variables it asks for (differs)1, secrets among them: 13, secrets among them: 2
Licence (differs)MITNot stated
Repository (differs)github.com/scrapezy/mcpgithub.com/bch1212/agentfetch-mcp
Changes in the last 7 days00
First seen2026-10-112026-10-11

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

In its own words, on Docker MCP Catalog:

A Model Context Protocol server for Scrapezy that enables AI models to extract structured data from websites.

io.github.bch1212/agentfetch

In its own words, on Official MCP Registry:

Token-budgeted web fetch for AI agents — auto-routes Jina, FireCrawl, Trafilatura, PDF.

How to run each

Scrapezy As a local MCP server: Docker image

Claude Code
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)

io.github.bch1212/agentfetch As a local MCP server: PyPI package

Claude Code
claude mcp add --env "FIRECRAWL_API_KEY=<YOUR_FIRECRAWL_API_KEY>" --env "JINA_API_KEY=<YOUR_JINA_API_KEY>" --transport stdio agentfetch -- uvx agentfetch-mcp

Requires: FIRECRAWL_API_KEY (secret), JINA_API_KEY (secret)

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

Tools each declares

The marketplaces of io.github.bch1212/agentfetch publish no list of tools, so we do not compare tools.

Settings each asks for

Only Scrapezy asks for

  • SCRAPEZY_API_KEY (secret)

Only io.github.bch1212/agentfetch asks for

  • FIRECRAWL_API_KEY (secret)
  • JINA_API_KEY (secret)
  • REDIS_URL

Settings as each marketplace publishes them. Asking for fewer is not better in itself.

What it can do: Scrapezy · What it can do: io.github.bch1212/agentfetch · 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.

Where the data comes from: how the catalog is built