io.github.BenAHammond/code-auditor-mcp · v5.0.2 · agents-and-memory
io.github.BenAHammond/code-auditor-mcp is healthy: it completed an MCP handshake in 3352 ms and exposes 4 tools. It scores 62/100.
Enforces architectural invariants and code quality rules inside your AI agent's edit loop.
Endpoint: https://www.codeauditormcp.com/api/mcp (streamable-http)
Repository · JSON · Add to my inventory
| health | 17 / 25 |
| authEase | 15 / 15 |
| toolQuality | 15 / 15 |
| maintenance | 7 / 15 |
| adoption | 0 / 10 |
| usage | 0 / 10 |
| security | 8 / 10 |
Scoring v0.3, computed 2026-10-15T02:41:09.309Z.
| Checked (UTC) | Status | Latency | Error |
|---|---|---|---|
| 2026-10-15T00:45:41.992Z | Healthy | 3352 |
get_install_commands | Return the exact install commands for Code Auditor for a given AI agent. Call this when a user asks how to install Code Auditor, or asks for the command for a specific agent (claude, cursor, codex, gemini, agents, zcode, or all). |
lookup_rule | Return the rule kind, description, default severity, detection method, and threshold for a given Code Auditor rule or analyzer. Call this when a user asks what a specific rule does (e.g. import-ban, sql-injection, n+1). |
explain_symptom | Map a natural-language symptom (e.g. 'my app is slow', 'hardcoded password', 'infinite react loop') to the relevant Code Auditor rule(s) and their fixes. Call this when a user describes a problem rather than naming a rule. |
request_rule | Request a new Code Auditor rule. Call lookup_rule or explain_symptom first to confirm no existing rule covers it. Provide a minimal example that should be flagged and a corrected example that should not. Reduce both to the smallest code that shows the difference, and remove secrets and proprietary i |