ZBS Index What actually exists in applied AI, with the source next to it

mcp server

Rams

Design review for UI code: 291 rules, scored 0-100 with fixes and git-applyable patches.

Description as published by the maintainer. Source

  • version 1.1.0
  • active

active — Registry entry last updated 2026-07-31.

What this server can do

4 functions, named and described by the server itself. Parameter names are shown because they say more about what a function does than its name usually does.

quick_review(files, context)
Fast design check over the UI files you just changed. Returns issues with severity, category and file:line, in about 10 seconds. Cheap: five quick checks cost one review credit, so a whole editing session spends a fraction of one review. Use this one CONSTANTLY: after writing or editing a component, before committing, whenever you want to know if what you just wrote is sound. You do not need to ask the user first. It returns no score and no ready-made patch: fix the issues yourself in the files you already have open. When the user wants a score to keep, a patch to apply, or a review to quote, use review_files instead. Required: files.
review_files(files, context)
Run a Rams design review over UI files (React, Vue, Svelte, CSS). Returns a 0-100 score (criticals cap it: one caps at 59, two at 49, three or more at 39), issues with severity, category, file:line, and concrete fixes. Call it whenever UI code has been written or changed: before committing, when the user asks how the design looks, or to check your own work after editing a component. Reviewing the handful of files you just touched is the normal case — it is cheap, and you do not need to ask permission first. Only a whole-codebase audit (dozens of files across many batches) is worth checking with the user, since it consumes the calling agent's context and a large share of their model allowance; prefer the highest-traffic screens in that case. Required: files.
usage
Check how many Rams reviews this workspace has used and has left (rolling 30 days, shared between the GitHub App and MCP). Free to call — does not consume a review.
verify_fixes(files, issues)
Re-check previous review_files findings against updated file contents. Returns fixed vs still-present per finding. Much cheaper and faster than a full re-review; does NOT consume review quota. Use after applying fixes. Required: files, issues.

Last successful function declaration observed on . Source: https://worker.rams.ai/mcp. We list what the server declared; we do not call any of these functions.

Endpoint status observed on . Source: https://worker.rams.ai/mcp.

Signals

These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.

Signal Value What it measures Window Observed Source
Latest published version 1.1.0 Latest version string the maintainer published to the registry. as of fetch Model Context Protocol
Registry record last updated 2026-07-31 When the registry record was last updated by its maintainer. point in time Model Context Protocol
First listed in the MCP Registry 2026-07-31 Date this server was first published to the official MCP Registry. Not a usage or quality measure. point in time Model Context Protocol
mcp tools declared 4 tools Number of functions the server itself declared when asked to list them. This is what the server offers an agent, not a measure of how well any of them work. as of probe worker.rams.ai
mcp endpoint status ok The server listed 4 functions when asked. as of probe worker.rams.ai

Where to get it

This record as data

Every field on this page, with its source and observation date, is in the catalog JSON. Fetch the whole kind at once instead of parsing this HTML.

GET /api/v1/entries/mcp_server.json

Sources

  1. Official MCP Registry — Model Context Protocol, observed , trust tier 1.
  2. Tools declared by the MCP server at https://worker.rams.ai/mcp — worker.rams.ai, observed , trust tier 4.