Multi-model code review: a panel of models + detectors return a pass/fail verdict. Paid via x402.
| Endpoint | https://review-mcp-production.up.railway.app/mcp (streamable-http) |
|---|---|
| Registry version | 0.1.0 |
| Now | 1 tools · grade D (54) · pin ts_f81bbce9bc2c3515b4c5870f7fcdbb06 · protocol 2025-06-18 |
| First / last listed | 2026-11-08 01:04 UTC / 2026-11-08 01:04 UTC |
| Grade over time | 2026-11-08: D (54), 1 tools |
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Tools: review_code
review_code | 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 d params: payload*, language*, context, depth |
Entries describe changes in tool definitions. They are not statements about a server, its quality or its author. The grade measures how the tool definitions fit model providers (token cost, schema compatibility, confusable names) as scored by the ToolFit engine at the time of the listing. JSON: append .json. Opt-out: how or hello@youraitools.co.