LlamaIndex Unveils Three Methods to Give Claude Code Native Document Understanding Powers

LlamaIndex launches three groundbreaking methods to empower Claude Code with native document understanding capabilities, enabling coding agents to process PDFs, spreadsheets, and complex enterprise files that represent 90% of business data, transforming how AI builds robust applications for real-world enterprise environments.

• LlamaIndex introduces three methods to enhance Claude Code's document understanding capabilities: accessing documents through Model Context Protocol (MCP), operating over documents via enhanced CLI commands, and teaching Claude Code to build agentic document workflows
• Coding agents like Claude Code currently lack native document understanding abilities, limiting their effectiveness for enterprise applications where 90% of data exists in PDFs, spreadsheets, and other complex file formats
• The integration enables coding agents to build more robust business applications by providing context from enterprise documents and generating AI-native workflows that adapt to varying document formats rather than relying on brittle rules-based approaches