WashEdge in Claude, ChatGPT and AI assistants

The server's address is https://washedge.com/mcp. In Claude, add it as a custom connector. In ChatGPT, add it as a connector. Once it is added, you ask your question in everyday words and the assistant calls the tools it needs.

• search_models: find models by need in plain words and by filters.
• get_model: all the data of one model.
• compare_models: compare two to four models.
• list_filters: the filters and what they mean.
• list_guides: the buying guides.
• search and fetch: the search ChatGPT uses, deep research included.

The assistant gets our data and the official data with its source. It never gets the Amazon price, title, image or rating. For those, it sends you to the model's page on WashEdge, which shows them up to date.

The same data goes through a REST API described at /openapi.json, which you can use for a custom GPT's actions. The full catalog is at /catalog.json, and the site's summary for AI tools is at /llms.txt.

These requests use filters that already exist in the comparison:

• Front-loading washing machines that fit under a counter.
• Top-loading models with a large drum.
• Machines with a quick cycle.
• Models with a steam option.
• Quiet washing machines for an open kitchen.
• Machines with a delay start.
• Models with a high rating and enough customer reviews.

The same server also answers for France, with Amazon.fr and washedge.fr, in French. Every tool takes a market parameter: us or fr, us by default. Each market has its own catalog in its language, and each model's address leads to its market's site.

If a tool does not answer as you expect, write to us through the contact page. Our data comes from Amazon.