io.github.Opafex由 GitHub 账号 Opafex 发布v0.1.1更新于 Oct 26, 2026
Text extraction, keyword extraction, language detection, and chunking for RAG
本地 MCP 服务器，可从 PDF、DOCX 及文本/代码文件中提取文本，并做关键词提取、内容类型识别和面向 RAG 的文本分块。
Desktop only，通过 STDIO。 STDIO 服务会启动本地进程，因此需要 SourceWeft 桌面宿主。
参照 仓库 中的启动说明。
MCP server for universal text extraction, keyword extraction, language detection, and text chunking — designed for RAG pipelines.
Supports PDF, DOCX, CSV, JSON, Markdown, HTML, and code files. Zero platform dependencies.
Requires Node.js 20+.
No API keys needed — everything runs locally.
extract_textExtract text content from a file.
extract_keywordsExtract ranked keywords from text. Filters stop words, sorted by frequency.
detect_languageDetect whether content is code, natural language, or mixed.
chunk_textSplit text into overlapping chunks for RAG/embedding pipelines.
process_fileAll-in-one: extract text, detect content type, extract keywords, and chunk.
server_info (built-in)Returns server metadata, registered tools, and resources.
Found a bug or have a feature request? Open an issue.
MIT — see LICENSE.
来源：packages/file-processor/README.md，提交 f85607b
Extract text content from a file. Supports PDF, DOCX, CSV, JSON, Markdown, HTML, and code files. Pass file content as base64 (for binary formats like PDF/DOCX) or raw text (for text formats). Returns extracted text, word count, and processing time.
content必填fileType必填Extract ranked keywords from text. Returns keywords sorted by frequency, useful for tagging, search indexing, and topic identification.
text必填limitDetect whether content is code, natural language, or mixed. Optionally detects the programming language from file extension. Useful for routing content to appropriate processing pipelines.
text必填fileNameSplit text into overlapping chunks suitable for RAG/embedding pipelines. Configurable chunk size and overlap. Returns chunks with positional metadata.
text必填overlapchunkSizeAll-in-one file processing: extract text, detect content type, extract keywords, and chunk for RAG. Returns the complete processed result in a single call.
content必填fileType必填chunkSizechunkOverlapkeywordLimitReturns server metadata: name, version, registered tools, and registered resources. Useful for introspection and health checks.
无需输入参数。
已满足适用检查项的 90%
该评分衡量此收录条目的完整程度，依据注册中心条目、端点与公开来源计算得出。它不是对服务器本身的评价，也不表示服务器安全或当前可用：可连通性是带日期的检查结果，评分也不包含安装量或用户评价。
请在注册中心条目中声明凭据请求头，或保持端点能够响应探测，以便判定其认证方式。
npm install @opafex/mcp-file-processor{ "mcpServers": { "file-processor": { "command": "npx", "args": ["@opafex/mcp-file-processor"] } }}{ "success": true, "text": "Extracted text content here...", "wordCount": 142, "pageCount": 3, "processingTimeMs": 45}{ "success": true, "keywords": [ { "word": "javascript", "frequency": 8 }, { "word": "framework", "frequency": 4 }, { "word": "react", "frequency": 3 } ], "totalWords": 156}{ "success": true, "contentType": "code", "programmingLanguage": "typescript"}{ "success": true, "chunks": [ { "index": 0, "text": "...", "startOffset": 0, "endOffset": 1000, "wordCount": 167 }, { "index": 1, "text": "...", "startOffset": 800, "endOffset": 1800, "wordCount": 172 } ], "totalChunks": 5, "totalCharacters": 4200}npm run build # Compile TypeScriptnpm run dev # Run with tsxnpm test # Run testsnpm start # Run compiled serverimport { FileProcessorService } from '@opafex/mcp-file-processor/service';
const service = new FileProcessorService();
const result = await service.processFile( 'Hello world, this is a document.', '.txt', 500, // chunk size 100 // overlap);