Local Documents
Provides a server for interacting with local documents on Windows, enabling efficient listing, content extraction, and optical character recognition (OCR) on scanned PDFs.
About
The Local Documents server acts as a Model Context Protocol (MCP) server designed specifically for Windows users to bridge local document collections with AI models. It allows seamless discovery of files, conversion of various formats (including Word, PowerPoint, Excel, and standard PDFs) into markdown, and features robust OCR support for extracting text from scanned PDFs. By automatically managing content truncation based on token limits, it enables large language models (via MCP clients like Claude Desktop) to effectively 'read' and process vast amounts of local data for analysis, summarization, or other AI-driven tasks.
Key Features
- Document Discovery for specified directories
- Document Processing to convert various formats to markdown
- OCR Support for text extraction from scanned PDFs using Tesseract
- Automatic Token Management and content truncation
- Multi-format Support for Word, PDF, PowerPoint, Excel, and more
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Use Cases
- Integrating local document collections with AI models (e.g., Claude Desktop) for contextual understanding.
- Extracting searchable text from scanned documents and images for AI ingestion or archival purposes.
- Enabling AI agents to process, analyze, and summarize content from personal or enterprise local files.