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i18n Hardcoded String Detector

i18n Hardcoded String Detector MCP Connector for Claude

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An AST-powered auditing tool that identifies un-internationalized text literals in source code by cross-referencing them against translation dictionary keys.

3 tools Official Updated Oct 1, 2026 Official Vinkius Partner
More Details Connect to Claude

The i18n Hardcoded String Detector uses advanced Abstract Syntax Tree (AST) parsing to find user-facing text that hasn't been internationalized. It scans your codebase for strings in JSX/HTML nodes, aria-label attributes, and UI labels, then compares them against your translation dictionary. Use analyze_codebase to extract candidate strings, verify_dictionary_syntax to check your JSON/JS files, and audit_strings to generate a report of hardcoded violations and orphaned keys.

i18nastauditcodebaseautomation

3 tools expose this connector's capabilities to your AI agent.

audit_strings

Compare discovered candidate strings against the translation dictionary

verify_dictionary_syntax

Ensure the translation dictionary is structurally sound

analyze_codebase

Identify all candidate user-facing string literals within a given directory

See how to talk to your AI agent using i18n Hardcoded String Detector.

Scan my React project for hardcoded strings.

I will use `analyze_codebase` on the specified path to identify all candidate UI strings using AST parsing.

Check if my en.json file is valid.

I will run `verify_dictionary_syntax` on the provided path to ensure the JSON structure is correct and readable.

Compare these strings against my translation keys.

I will use `audit_strings` with the provided candidate strings, dictionary keys, and values to generate a report of hardcoded text and orphaned keys.

The tool performs deterministic AST traversal to distinguish between actual UI text nodes and technical identifiers like CSS classes or console logs.

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