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

mcp server

review-mcp

Multi-model code review: a panel of models + detectors return a pass/fail verdict. Paid via x402.

Description as published by the maintainer. Source

  • version 0.1.0
  • active
  • code review

active — Registry entry last updated 2026-07-01. Dashed tags are derived by ZBS Index from the published description, not stated by the maintainer.

What this server can do

1 function, 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.

review_code(depth, context, payload, language)
Adversarial multi-model code review. Submit a diff, a module, or a spec+implementation and get back a structured pass/fail verdict with each issue's type, severity, location, explanation, and suggested fix. Why call this instead of reviewing your own output: a single model shares its blind spots with itself. This routes your code through a panel of *different* models plus a set of deterministic detectors, catching what self-review misses — path/contract violations, module incoherence (dangling imports, broken cross-references), syntax and call-arity regressions in a diff's post-image, and 'prose instead of tool calls' (output that describes an action rather than emitting it). The panel adds semantic judgment on top and never overrides a deterministic finding. Call it before shipping or merging, as a second opinion on a risky change, or as a gate in an autonomous build loop. Choose depth='fast' (one model, low latency) or 'deep' (full panel, higher recall). Deep review audits files of any size in milestone chunks so every panel model contributes; the price (shown in the 402) and the payment window scale with file size. Per-call limit ~1,600 lines — larger inputs return 413, so split by file/module and call once per file. Paid per call via x402 (USDC on Base); the price is announced in the 402 response before any charge. Required: payload, language.

Last successful function declaration observed on . Source: https://review-mcp-production.up.railway.app/mcp. We list what the server declared; we do not call any of these functions.

Endpoint status observed on . Source: https://review-mcp-production.up.railway.app/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 0.1.0 Latest version string the maintainer published to the registry. as of fetch Model Context Protocol
Registry record last updated 2026-07-01 When the registry record was last updated by its maintainer. point in time Model Context Protocol
First listed in the MCP Registry 2026-07-01 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 1 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 review-mcp-production.up.railway.app
mcp endpoint status ok The server listed 1 function when asked. as of probe review-mcp-production.up.railway.app

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://review-mcp-production.up.railway.app/mcp — review-mcp-production.up.railway.app, observed , trust tier 1.