md-anything for AI Agents

md-anything: Convert Local Documents into Structured Markdown for LLMs

md-anything, developed by Ojspace, is an MCP server that converts local documents into Markdown so LLMs can consume them directly. It converts office files and images into clean, structured text using a MarkItDown-powered pipeline and automated extraction tools. Key capabilities include multi-format ingestion, image OCR, and MCP client hooks. The app targets developers and AI researchers who need reliable on-device document ingestion for model-assisted analysis, localization, or retrieval-augmented generation workflows.

You can supply LLMs with many common document types as Markdown

md-anything accepts multiple file formats, turning them into a single, text-first output that models can read. Supported inputs include PDF, DOCX, XLSX, PPTX, HTML and image files with embedded text. The server extracts text from tables and slides and flattens diverse layouts into Markdown, which helps tools that expect plain-text context windows rather than binary office formats.

Converted Markdown preserves structural cues but may need human checks

Conversion is designed for fidelity by using the MarkItDown library to keep headings, lists, and basic table structure intact, producing output optimized for model context windows. Documents with dense, non-linear layouts or decorative formatting can still produce noisy Markdown, so spot-checking complex pages is advisable before using extracted content in high-stakes prompts.

Built for integration into developer MCP workflows

The server plugs into MCP-compatible clients and standard MCP settings files, enabling model-assisted access to local data. Native integration with clients such as Claude Desktop removes the need for manual uploads, and community feedback from MCP developers notes straightforward configuration and a developer-friendly codebase hosted on GitHub.

OCR and layout extraction perform well on clean sources, degrade on poor quality

Image text extraction and complex-layout parsing work when inputs are clear, but accuracy drops on low-resolution scans, heavy noise, or unusual fonts. The tool automates extraction from images embedded in documents, yet users should verify OCR results when source images or scanned pages contain artifacts.

Practical choice for technical teams that prioritize on-device document ingestion

md-anything is a pragmatic option for developers and researchers who need local document-to-Markdown conversion for model contexts, with the caveat that it requires running a Node.js MCP host and editing MCP settings. Expect to validate converted text for layout-sensitive pages. For teams comfortable operating a lightweight local server, the app reliably supports model-driven document workflows while keeping data on-device.