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  • Coveo Launches Hosted Model Context Protocol Server for Seamless LLM Integration
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Coveo Launches Hosted Model Context Protocol Server for Seamless LLM Integration


Coveo Launches Hosted Model Context Protocol Server for Seamless LLM Integration
  • by: PR Newswire
  • |
  • February 11, 2026

Coveo, the leader in AI-Relevance, has announced the general availability of its Hosted Model Context Protocol (MCP) Server. This new capability extends the Coveo AI-Relevance Platform to support seamless, secure integration with leading large language models, including ChatGPT Enterprise and Anthropic's Claude, while preserving enterprise-grade governance, security, and control.

Quick Intel

  • Coveo launches the Hosted MCP Server, built on the Model Context Protocol standard, allowing AI agents and LLMs to connect directly to Coveo's unified content index.
  • The server eliminates custom integrations or additional infrastructure, enabling grounded retrieval and reuse of Coveo's relevance logic across models.
  • Early adoption includes 10 customers already leveraging the server with models such as Anthropic's Claude and OpenAI's ChatGPT Enterprise.
  • The Coveo app is now available in ChatGPT Enterprise through the official Apps & Connectors directory, acting as a secure bridge to Coveo-indexed content.
  • Queries via the MCP Server count toward existing consumption-based licensing within the Coveo AI-Relevance Platform.
  • The release positions Coveo as a foundational interoperability layer for enterprise AI, supporting scalable adoption of generative AI and agentic workflows.

Enabling Interoperable Enterprise AI As organizations deploy multiple LLMs across workflows, the need for secure, scalable data access becomes critical. The Hosted MCP Server addresses this by providing a standardized, governed connection point. AI agents can retrieve relevant, context-aware content from Coveo's unified index—spanning internal knowledge bases, customer data, and external sources—without compromising security or requiring bespoke development.

This approach ensures responses are grounded in authoritative enterprise data, reduces hallucination risks, and maintains compliance with enterprise policies.

"As enterprises increasingly deploy multiple large language models across critical workflows, Coveo is uniquely positioned to power an interoperable AI future, one where any LLM can seamlessly leverage the full intelligence of the Coveo platform," said Laurent Simoneau, Co-founder and Chief Executive Officer of Coveo. "We are already working closely with 10 customers leveraging our hosted MCP server to enhance leading models such as Anthropic's Claude and OpenAI's ChatGPT. This early traction reinforces Coveo's role as a foundational and interoperable layer for enterprise AI and represents a meaningful opportunity to drive expanded adoption and long-term growth as customers scale their AI initiatives."

Secure, Scalable Integration for Agentic Workflows The Hosted MCP Server supports flexible deployment across AI-driven use cases, from internal knowledge retrieval to customer-facing experiences. By acting as a bridge between LLMs and enterprise content, it enables:

  • Grounded, accurate responses based on real organizational data
  • Reuse of Coveo's advanced relevance tuning and semantic indexing
  • Consistent governance and access controls across models
  • Simplified scaling as organizations adopt additional LLMs

The solution is now generally available for ChatGPT Enterprise, Anthropic's Claude, and other leading models, with queries counting toward existing Coveo consumption licensing.

 

About Coveo

Coveo brings superior AI-Relevance to every point-of-experience, transforming how enterprises connect with their customers and employees to maximize business outcomes. Relevance is about moving from persona to person, the degree to which the enterprise-wide content, products, recommendations, and advice presented to a person online aligns easily with their context, needs, preferences, behavior and intent, setting the competitive experience gold standard. Every person's journey is unique, and only AI can solve the complexity of tailoring experiences across massive, diverse audiences and large volumes and variety of content and products.

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