Zero-cost MCP server for local code inspection and best-practice recommendations
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β we're steadily working through the catalog.
π‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Inspect callable tools, capabilities, and parameters exposed to AI agents by Readyorai.
inspect_fileAnalyze a single file for code quality issues
inspect_directoryBatch analysis of all source files in a directory
get_metricsGet quantitative metrics (LOC, complexity, function count)
compare_filesCompare two file versions and show fixed, introduced, or unchanged findings
suggest_fixesGet actionable fix suggestions with context for each finding
Zero-cost MCP server for local code inspection. Analyzes your code for clean code practices, best practices, and gives actionable recommendations β without modifying your code or making API calls.
ready @filename and AI terminal commands for standalone use.readyorai.json for shared settings// readyorai-ignore commentsClaude Desktop (claude_desktop_config.json):
Claude Code:
VS Code (.vscode/mcp.json):
| Code | Meaning |
|---|---|
0 | No issues found |
1 | Warnings found |
2 | Errors found |
3 | Runtime error |
Create a .readyorai.json in your project root:
Silence specific findings on a line:
| Tool | Description |
|---|---|
inspect_file | Analyze a single file for code quality issues |
inspect_directory | Batch analysis of all source files in a directory |
get_metrics | Get quantitative metrics (LOC, complexity, function count) |
compare_files | Compare two file versions and show fixed, introduced, or unchanged findings |
suggest_fixes | Get actionable fix suggestions with context for each finding |
| Prompt | Description |
|---|---|
review-code | Structured code review with optional focus area |
health-check | Project-level health assessment |
| Check | What it detects |
|---|---|
complexity | Cyclomatic/cognitive complexity, deep nesting |
naming | Convention violations, single-letter vars, boolean prefixes |
structure | Long files/functions, too many parameters, long lines |
patterns | console.log, empty catch, magic numbers, nested ternaries, TODOs |
imports | Unused imports, wildcard imports, scattered imports |
documentation | Missing JSDoc/docstrings, low comment ratio |
security | Hardcoded secrets, eval(), SQL injection, XSS patterns |
duplication | Duplicate code blocks, repeated magic strings |
ai-detection | Detects patterns common in AI-generated code |
| Tier | Languages | Analysis |
|---|---|---|
| 1 | JavaScript, TypeScript, Python, Go, Rust | Full AST-powered analysis |
| 2 | Java, C#, Ruby, PHP, Swift, Kotlin, C, C++ | Regex + heuristic analysis |
| 3 | Any text file | Line-based checks (length, TODOs, secrets, duplication) |
If you find ReadyOrAI useful, consider supporting the project:
MIT
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