@davidleathers113
基本情報
Analyze and fix any types in TypeScript with an intelligent MCP server – fast, extensible, and React-aware.
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"typescript-analyzer-mcp": {
"command": "node",
"args": [
"dist/index.js"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
It is a high-performance MCP (Model Context Protocol) server that analyzes and fixes TypeScript any types in a codebase, featuring caching, intelligent type inference, batch processing, and React component interface generation. It is designed for developers using MCP‑compatible assistants like Claude Desktop.
Clone the repository, run npm install, build with npm run build, and start with npm start (or node dist/index.js). To use with Claude Desktop, add the server to your .claude-app.json configuration under mcpServers. Invoke operations via tools such as analyzeTypeScriptFile, fixTypeScriptFile, batchFixTypeScriptFiles, generateComponentInterface, clearCache, configureServer, and getServerInfo.
any types and suggest replacementsany types with more specific typesany usage and get suggestionsany types in a file with a dry run to preview changesIt applies a predefined set of mappings for common patterns (e.g., `e: any` → `e: React.SyntheticEvent`, `data: any` → `data: Record<string, unknown>`). For patterns not covered, it defaults to `unknown`.
Yes. The `fixTypeScriptFile` and `batchFixTypeScriptFiles` tools accept a `dryRun` parameter. When set to `true`, the server shows the modifications without altering any files.
Use the `batchFixTypeScriptFiles` tool. Provide a `directory` and a glob `pattern` (e.g., `**/*.ts`) to select files; you can also adjust `concurrency` for parallel processing.
By default, a backup is created before modifying a file. To skip this, set the `skipBackup` parameter to `true` when calling `fixTypeScriptFile` or `batchFixTypeScriptFiles`.
Invoke the `clearCache` tool. This removes all cached analysis results, forcing fresh analyses on subsequent operations.
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