- From: Rigel <zedr@zedr.com>
- Date: Mon, 9 Jun 2025 19:48:35 +0200
- To: public-hydra@w3.org
- Message-ID: <CAD9P0Jo9F856nqaQpd2FTuU8M1K+pVqoqL_v0-_DHJ_rj89v9g@mail.gmail.com>
Hello Pierre. I've read your article with interest. One small bit caught my attention: > except if we use an AI as a REST client… I've been thinking about this in the last few weeks. REST as an alternative to the MCP[1], which is JSON-RPC. A properly implemented, fully auto-describing REST application would work well with autonomous agents using LLM and reasoning mechanisms. A really cool demo would be one where an LLM-based client is able to navigate such an application to complete a task with no prior knowledge on how the API works. One big hurdle, in my opinion, of REST is that the client needs to understand the language of the server in order to use it. Prior to LLMs, this was only possible if that language was coded into the client. LLMs are very good at inferring this through a conversation, which in this case are the RESTful state transitions driven by hyperlinked and expressive resources. I think there might be an opportunity to put forth a new and better standard for agent communication and cooperation. LLM agents are the killer application for a Semantic Web powered by RESTful applications. Shall we work on it? Cheers. Rigel. https://www.linkedin.com/in/rigeldiscala/ 1. Model Context Protocol, https://modelcontextprotocol.io/introduction
Received on Tuesday, 10 June 2025 11:40:30 UTC