Launch HN: Vespper (YC F24) – SOTA Docx MCP
vespper.com topaztee
Vespper launched an MCP called Vespper (YC F24) that lets AI agents edit .docx Word documents by projecting them to HTML and reconciling agent edits back into OOXML. It says its v1 is 3× faster and 2× cheaper than the closest alternative. As a result, agents use just three tools (read, search, edit) instead of many Word-specific steps, and users can try a free tier with 500 edits per month.
Why it matters
Hey HN! We're Dudu and Topaz from Vespper (https://vespper.com). Vespper is an MCP that lets AI agents efficiently edit Word documents, powered by our fine-tuned model. It's currently 3× faster, 2× cheaper and more accurate than the closest alternative. Check out an overview of how the product works here: https://youtu.be/odKxsgPjzzwWe came to work on this problem after spending a year building an AI document editor for pharma companies. Before that, Topaz(myself) was a senior SWE at Snyk, working on distributed systems, and Dudu was a deep learning engineer at Viz.ai, building computer vision models for stroke detection. Our editor helped pharma companies generate regulatory documents (e.g. CSRs) to speed up their submissions. Initially, the output was Markdown, displayed in a WYSIWYG editor. However, users preferred working with their own Word templates. That's when the problems began.AI agents aren't great at editing Word documents. A Word document is a zip file of verbose XML files
