MCP server for universal text extraction, keyword extraction, language detection, and text chunking for RAG pipelines
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extract_textExtract 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.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.
No input schema was published for this tool.
extract_keywordsExtract ranked keywords from text. Returns keywords sorted by frequency, useful for tagging, search indexing, and topic identification.Extract ranked keywords from text. Returns keywords sorted by frequency, useful for tagging, search indexing, and topic identification.
No input schema was published for this tool.
detect_languageDetect whether content is code, natural language, or mixed. Optionally detects the programming language from file extension. Useful for routing content to appropriate processing pipelines.Detect whether content is code, natural language, or mixed. Optionally detects the programming language from file extension. Useful for routing content to appropriate processing pipelines.
No input schema was published for this tool.
chunk_textSplit text into overlapping chunks suitable for RAG/embedding pipelines. Configurable chunk size and overlap. Returns chunks with positional metadata.Split text into overlapping chunks suitable for RAG/embedding pipelines. Configurable chunk size and overlap. Returns chunks with positional metadata.
No input schema was published for this tool.
process_fileAll-in-one file processing: extract text, detect content type, extract keywords, and chunk for RAG. Returns the complete processed result in a single call.All-in-one file processing: extract text, detect content type, extract keywords, and chunk for RAG. Returns the complete processed result in a single call.
No input schema was published for this tool.
5 of 5 tools published a description.
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MCP server for universal text extraction, keyword extraction, language detection, and text chunking for RAG pipelines
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