Vespper's DOCX MCP edits Word documents 3× faster and 2× cheaper than rivals
Launch HN: Vespper (YC F24) – SOTA Docx MCP
Vespper launched a DOCX MCP that lets AI agents edit Word documents through a clean HTML representation, then uses a trained model to reconcile changes back into OOXML. On 279 editing tasks with GPT 5.6 Sol and Terra, it ran 3× faster, 2× cheaper, and more accurately than SuperDoc, Office CLI, Adeu, Anthropic's DOCX skill, and a plain python-docx harness.
Instead of building a giant reconciliation engine and chasing every edge case with hand-written code, we decided to train a model to be the reconciler.
- khaki54
Agree a good one this is needed but there are 4-5 semi functional Word MCP servers including one from the vendor. This one still isn't feature complete. This is going to sound rude, and I don't mean it that way, but how did you get accepted to YC for this? Was this some kind of pivot off your accepted idea and business plan?
- david1542
Btw we open sourced a Word add-in project that shows how to build a Word add-in with Vespper MCP: https://github.com/vespperhq/examples/tree/main/word-add-in
- radial_symmetry
I've built tools using the agent in https://github.com/eigenpal/docx-editor. I can use my existing AI and don't need to connect to an external service, plus it is open source. Why would I use your solution instead?