multimodal_content
List of multimodal content dictionaries
How to use it
multimodal_content is exposed by the Rag Anything MCP MCP server. Add the server to your MCP client (Claude Desktop, Cursor, Windsurf and others), and the multimodal_content tool becomes available to the model automatically. See the full listing for setup details and every tool this server provides.
FULL RAG ANYTHING MCP LISTINGOther tools in Rag Anything MCP (20)
OpenAI API base URL (for custom endpoints)
Path to the directory containing files to process
Enable equation processing (default: True)
Enable image analysis (default: True)
Enable table extraction (default: True)
List of file extensions to process (default: ['.pdf', '.docx', '.pptx', '.txt', '.md'])
Path to the document to process
Get detailed information about the RAG configuration and status for a directory.
List all directories that have been processed and are available for querying.
Concurrent processing workers (default: 4)
Query mode - "hybrid", "local", "global", "naive", "mix", or "bypass" (default: "hybrid")
Output directory for parsed content
Document parsing method (default: "auto")
Process all files in a directory for comprehensive RAG indexing with multimodal support.
Process a single document with full multimodal analysis.
The question to ask about the documents
Pure text query against processed documents using LightRAG.
Enhanced query with additional multimodal content (tables, equations, etc.).
Process subdirectories (default: True)
Custom working directory for RAG storage