
The world of enterprise AI is entering a new phase—one defined not just by chatbots or single-step actions, but by intelligent agents capable of planning, reasoning, and taking action. This shift, from generative AI (GenAI) to agentic AI, represents a major leap in how businesses will harness artificial intelligence. And Denodo is ready to lead the way. We’re excited to announce that Denodo now supports Model Context Protocol (MCP).
This enables our customers to build and manage advanced, multi-agent AI systems using open, interoperable standards. Specifically, the Denodo AI SDK now supports MCP, providing customers with a trusted data foundation for their agentic AI ecosystems.
Why Agentic AI Is the Next Frontier
Where GenAI tools like ChatGPT can generate content or answer simple questions, agentic AI takes things further. Agentic systems can:
- Break down complex problems into tasks
- Collaborate across multiple AI agents
- Make decisions using real-time and enterprise data
- Take autonomous or semi-autonomous actions
The result? AI that works more like a smart digital team than a single helper.
Whether it’s supply chain optimization, regulatory reporting, customer personalization, or investment research, agentic AI can radically improve productivity, reduce time-to-decision, and enable entirely new forms of automation.
Introducing the Denodo MCP Server
Denodo’s commitment to openness and industry standards now extends to agentic integration. This is why we are excited about Model Context Protocol (MCP) support. Anthropic’s introduction of the MCP standard offers a standardized, flexible way to provide large language models (LLMs) with more context and access to tools. It also establishes a standard communication protocol for multi-agent integration and collaboration.
This means the Denodo AI SDK can be integrated with any MCP-compliant client, like Claude Desktop or Libre chat, opening up a whole world of possibilities for our customers. Enabling self service through natural language to any corporate data asset is now a seamless task, as easy as the installation of a small plug-in.
For those creating their own agents, Denodo’s MCP support provides enterprises with a reliable, secure, and scalable foundation for orchestrating their agentic AI strategies—all built on Denodo’s proven logical data management platform.
Why This Matters to Business Leaders
AI innovation isn’t slowing down, but its complexity is growing. Business leaders need more than a model or a chatbot; they need AI ecosystems that are:
- Context-aware
- Interoperable across systems
- Grounded in real data
- Aligned to business goals
Denodo’s long-standing commitment to openness and interoperability is core to everything we do, whether it’s supporting any data source, BI tool, security system, or governance framework. Our work with MCP is a natural extension of that philosophy, enabling our customers to build AI systems that are modular, adaptable, and vendor-neutral.
By adopting open standards like MCP and combining them with Denodo’s logical data platform, you gain a strategic AI foundation: one that’s flexible, future-proof, and enterprise-ready.
Ready to Get Started?
MCP support is now available to all Denodo customers as part of our growing AI enablement toolkit. Whether you’re experimenting with your first AI agent or deploying a full agentic architecture, Denodo provides the connectivity, context, and control you need for success.
If you’re ready to move beyond GenAI and harness the full potential of agentic AI, let’s talk. Denodo is here to help you build smarter, faster, and more collaborative AI solutions—starting today.
Want to dive deeper into the technical capabilities?
Read our technical blog post, From AI Chatbot to AI Agents: Navigating the Future with Denodo, to explore the under-the-hood innovations that make this possible.
- Denodo Ushers in the Age of Agentic AI with MCP Server Support - July 16, 2025
- Smarter AI Starts Here: Why DeepQuery Is the Next Step in GenAI Maturity - July 7, 2025
- Why Every Organization Needs a Data Marketplace - April 30, 2025