Sequa.AI vs anticipating-shadow-points
Sequa.AI is an MCP server published by sequa-ai. Marketplaces we read that list it: 1 (Docker MCP Catalog). anticipating-shadow-points is a plugin bundle for AI coding tools published by ulissesflores. Marketplaces we read that list it: 1 (Claude Code: claude-plugins-community). As of our marketplace pass on 2026-10-14. 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:f4e0e271c5c5 Forks (GitHub): 5 Pulls (Docker Hub): 10 300 Stars (Docker Hub): 1 Stars (GitHub): 22 Not marked · First seen |
Not listed |
| Claude Code: claude-plugins-community | Not listed | Listed Version: 1.0.0 Forks (GitHub): 0 Stars (GitHub): 0 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 | Sequa.AI | anticipating-shadow-points |
|---|---|---|
| Marketplaces that list it | 1 | 1 |
| Stars (GitHub) (differs) | 22 (better) | 0 (worse) |
| Pulls (Docker Hub) (differs) | 10 300 | No figure on Docker Hub |
| Forks (GitHub) (differs) | 5 (better) | 0 (worse) |
| Last release | Not published | Not published |
| Where it runs (differs) | On your machine (mcp/sequa) | Installs as a plugin bundle |
| Transport (differs) | stdio | Not stated |
| Tools it declares (differs) | 1 | Not published |
| Environment variables it asks for (differs) | 2, secrets among them: 1 | Not published |
| Parts of the bundle (differs) | Not a bundle | 2 |
| Licence | MIT | MIT |
| Repository (differs) | github.com/sequa-ai/sequa-mcp | github.com/ulissesflores/anticipating-shadow-points |
| 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
Sequa.AI
Stop stitching context for Copilot and Cursor. With Sequa MCP, your AI tools know your entire codebase and docs out of the box.
anticipating-shadow-points
Helps you ship complex engineering work without missing the obvious. Before any code is written, ASP runs an automated pre-mortem to surface failure modes that engineers (and LLMs) routinely miss on first pass — RLS policy gaps, replica lag during migrations, rate-limit issues in external APIs, deprecated callsites, monitoring blind spots, untested rollback paths. It then validates the plan with an independent agent, locks execution into a step-by-step contract with acceptance tests, and runs autonomously until done. Use before any non-trivial task: schema migrations, refactors across many files, deploys with external dependencies, RLS policy changes, or architecture decisions. Multilingual docs (English, Spanish, Portuguese, Italian, Hebrew). MIT licensed.
How to run each
Sequa.AI As a local MCP server: Docker image
claude mcp add --env "API_KEY=<YOUR_API_KEY>" --transport stdio sequa -- docker run -i --rm -e API_KEY mcp/sequa
Requires: API_KEY (secret)
anticipating-shadow-points As a Claude Code plugin
/plugin marketplace add anthropics/claude-plugins-community
/plugin install anticipating-shadow-points@claude-community
Commands built only from what the marketplaces declare; the full set for every client is on each card.
Tools each declares
The marketplaces of anticipating-shadow-points publish no list of tools, so we do not compare tools.
Settings each asks for
The marketplaces of anticipating-shadow-points publish no settings it asks for, so we do not compare settings.
What it can do: Sequa.AI · What it can do: anticipating-shadow-points · Compare two other plugins
Data comes from the Docker MCP Catalog (desktop.docker.com/mcp/catalog) and Docker Hub. Data comes from the public marketplace file https://github.com/anthropics/claude-plugins-community/blob/HEAD/.claude-plugin/marketplace.json. Figures come from our own regular passes over the marketplaces, last read on . We publish no contact details for plugin publishers.