Sinequa MCP
Unlock Enterprise Knowledge for Every AI Agent
Seamlessly connect any LLM to the world’s most powerful Retrieval-Augmented Generation Engine
[CIMdata + ChapsVision Webinar] Agentic AI: Moving Beyond Experiments to Enterprise Impact | March 18 • 12 PM ET Register now
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Sinequa MCP
Seamlessly connect any LLM to the world’s most powerful Retrieval-Augmented Generation Engine
Modern AI agents are often “trapped” in a bubble, unable to access the live, secured, and fragmented data scattered across your enterprise. Custom integrations are slow, fragile, and hard to secure.
The Sinequa MCP Server acts as a universal adapter for AI. It exposes Sinequa’s 200+ enterprise connectors and high-relevance search directly to any MCP-compliant client—including Claude, ChatGPT, and custom internal agents—without writing a single line of custom glue code.
By providing agents with high-relevance snippets and structured metadata, Sinequa ensures your AI’s answers are backed by verifiable enterprise truth, not training-data guesswork.
Stop building custom APIs for every new model. Build your MCP server once with Sinequa and instantly support any AI application that enters your ecosystem.
Sinequa doesn’t simply”pass data.” It applies industry-leading security protocols (SOC2, ISO 27001) and mirrors your existing corporate directory permissions to ensure data residency and privacy compliance.
With Sinequa MCP, any agent can leverage trusted internal data with expert-level search capabilities. Agents can adapt search scope and fine-tune relevance to find exactly what’s needed.
Access 200+ sources (SharePoint, Salesforce, Teamcenter, SAP) through one protocol.
Permissions are honored in real-time. Agents only see what the user is authorized to see.
Combine keyword precision with deep-learning intuition for zero-hallucination results.
Plug into Anthropic Claude, ChatGPT, Microsoft Copilot, Gemini, or any MCP-compatible framework.
Sinequa is our intelligent knowledge platform—the enterprise brain that finally connects our tools, data, and people.
Oliver Scott Beard Engineering Efficiency Project Manager at Cummins
