lad vs Batch Review
lad is no longer listed on any marketplace we read: these are its last known data, as of 2026‑10‑19.
lad is a plugin bundle for AI coding tools published by Chris Foulon. No marketplace we read lists it any more. Batch Review is an MCP server published by hevangel. Marketplaces we read that list it: 1 (Official MCP Registry). As of our marketplace pass on 2026-10-23. A plugin in this pair is no longer listed on any marketplace we read, so search engines are asked not to index the page.
Where each is published
| Marketplace |  Batch Review | |
|---|---|---|
| Community marketplace chrisfoulon/lad | Removed on 2026-10-19 Version: 2.1.0 Forks (GitHub): 1 Stars (GitHub): 4 Not marked · First seen |
Not listed |
| Official MCP Registry | Not listed | Listed Version: 1.3.0 Forks (GitHub): 0 Stars (GitHub): 2 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 | ladno longer listed · | Batch Review |
|---|---|---|
| Marketplaces that list it (differs) | 0 | 1 |
| Stars (GitHub) (differs) | 4 | 2 |
| Forks (GitHub) (differs) | 1 | 0 |
| Last release | Not published | Not published |
| Where it runs (differs) | Installs as a plugin bundle | On your machine (https://github.com/hevangel/batch-review-mcp/releases/download/v1.3.0/batch-review-mcp-1.3.0.mcpb) |
| Transport (differs) | Not stated | stdio |
| Tools it declares | Not published | Not published |
| Environment variables it asks for | Not published | Not published |
| Hooks it runs (differs) | 1 | Not published |
| Parts of the bundle (differs) | 10 | Not a bundle |
| Licence | MIT | MIT |
| Repository (differs) | github.com/chrisfoulon/lad | github.com/hevangel/batch-review-mcp |
| Changes in the last 7 days | 2 | 2 |
| First seen (differs) | 2026-10-15 | 2026-10-11 |
Lines where the two differ have a tinted background and bold values. No value is marked better or worse: a plugin no marketplace lists any more is shown with its last known data, which we do not rank against current figures.
What to use instead of lad
Plugins still listed whose own names, descriptions, tools and skills are closest in meaning to it. Comparable, not endorsed.
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Comprehensive feature development workflow with specialized agents for codebase exploration, architecture design, and quality review
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Comprehensive feature development workflow with specialized agents for codebase exploration, architecture design, and quality review
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Comprehensive feature development workflow with specialized agents for codebase exploration, architecture design, and quality review
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Feature-centric development framework for Claude Code — brainstorm, plan, build, and verify with structured workflows
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The most comprehensive agentic coding harness for Claude Code that works for both greenfield and brownfield projects. Drops 38 slash commands, 36 sub-agents, and 16 skills into…
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Spec-driven development and context engineering for AI coding agents, backed by project context in Git.
What each says it does
lad
LLM-Assisted Development: a staged workflow for building Python features safely — existing-work discovery, TDD planning, checkpointed implementation, and test-suite quality cycles.
Batch Review
Git diff and markdown review with a web UI plus MCP stdio for AI agents.
How to run each
lad
No data for an automatic command: what its marketplaces declare does not say unambiguously how to connect it.
Batch Review
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
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: lad · What it can do: Batch Review · Compare two other plugins
Data comes from public marketplace files in GitHub repositories of their authors. 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.