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MCP Web Search

· 3 min read
Basile Chevalier
Basile Chevalier
Project manager

🚀 Web Search is coming to Clovis.

We are launching our Web Search MCP, now available both in the chatbot and through the API. The goal is to turn your model into an assistant connected to real-world information, capable of retrieving information directly from the web.

Thanks to the MCP integration, the model can now:

  • Automatically run web searches
  • Analyze and summarize recent content
  • Provide richer, more reliable, and up-to-date answers

This improvement enables dynamic, contextualized interactions grounded in current information.

🔌 Simple integration, endless possibilities

In just a few lines, you can allow your agents to access the web and leverage its full potential.

Agent

Connect via MCP

Web Search is provided as an MCP server that connects directly to your application, agent, or orchestrator.

The model can then:

  • decide when to perform a web search,
  • call the MCP,
  • and use the results in its response.

👉 This approach provides maximum control and makes it possible to build:

  • autonomous agents,
  • advanced workflows,
  • multi-tool workflows,
  • or assistants connected to business systems.

It integrates easily into existing agentic architectures.

Link to the documentation

Model

Integrated into the model

Web Search can also be integrated directly into select Clovis models to make integration much simpler.

With this approach, the model is directly able to:

  • detect when a web search is relevant,
  • automatically perform the search,
  • and use the results when generating its response.

👉 Everything happens natively as part of the model’s reasoning, without complex client-side orchestration.

There is no need to manage fallback logic or custom routing.

Available on: ClovisLLM/gpt-oss-120b

Link to the documentation

This is just the beginning.

Web Search will continue to evolve with increasingly advanced capabilities: DeepSearch, multi-source analysis, intelligent browsing, and more.

Update made by
Basile ChevalierBasile Chevalier