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Comparison

EasyDeploy AI vs Infrawise

EasyDeploy AI is an MCP server published by easydeploy.ai. Marketplaces we read that list it: 1 (Official MCP Registry). Infrawise is an MCP server published by Sidd27. Marketplaces we read that list it: 2 (Official MCP Registry, npm registry (MCP servers)). As of our marketplace pass on 2026-11-15. 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
MarketplaceEasyDeploy AIInfrawise
Official MCP Registry Listed
Version: 0.5.0
Forks (GitHub): 0
Stars (GitHub): 0
Not marked · First seen
Listed
Version: 1.0.0
Downloads/month (npm): 1 348
Downloads/week (npm): 680
Forks (GitHub): 5
Stars (GitHub): 22
Not marked · First seen
npm registry (MCP servers) Not listed Listed
Version: 1.0.1
Downloads/month (npm): 1 348
Downloads/week (npm): 680
Forks (GitHub): 5
Stars (GitHub): 22
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

EasyDeploy AI vs Infrawise
FactEasyDeploy AIInfrawise
Marketplaces that list it (differs)1 (worse)2 (better)
Stars (GitHub) (differs)0 (worse)22 (better)
Forks (GitHub) (differs)0 (worse)5 (better)
Last release (differs)Not published2026-11-02
Where it runs (differs)Remote server (mcp.easydeploy.ai/mcp)On your machine (infrawise)
Transport (differs)Streamable HTTPstdio
Tools it declaresNot publishedNot published
Environment variables it asks forNot publishedNot published
Licence (differs)Not statedMIT
Repository (differs)github.com/easydeploy-ai/easydeploy-ai-mcpgithub.com/sidd27/infrawise
Changes in the last 7 days00
First seen (differs)2026-11-052026-10-11
Endpoint at the last check (differs)Responded 17 h agono remote endpoint we check

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

EasyDeploy AI

In its own words, on Official MCP Registry:

Train AutoML models on CSV files and run predictions from Claude and other MCP clients.

Infrawise

In its own words, on Official MCP Registry:

Live AWS, database & Kafka infrastructure context for AI coding assistants via MCP.

How to run each

EasyDeploy AI As a remote MCP server

Claude Code
claude mcp add --transport http easydeploy-ai-mcp https://mcp.easydeploy.ai/mcp

Infrawise As a local MCP server: npm package

Claude Code
claude mcp add --transport stdio infrawise -- npx -y infrawise

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

Only EasyDeploy AI has a remote endpoint we check. How we check endpoints

Tools each declares

Neither one's marketplaces publish a list of tools, so there is nothing to compare.

Settings each asks for

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

What it can do: EasyDeploy AI · What it can do: Infrawise · Compare two other plugins

Data comes from the Official MCP Registry (registry.modelcontextprotocol.io), CC0 1.0. Package data comes from the public npm registry (registry.npmjs.org). 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