Domo Launches AI Agent Builder and MCP Server to Connect Enterprise Data to the AI Ecosystem
New capabilities unveiled at Domopalooza enable companies to orchestrate AI agents and enterprise data across their workflows to power the next generation of the intelligent enterprise
SILICON SLOPES,
“AI doesn’t become valuable when a model gets smarter. It becomes valuable when it’s connected to your business and becomes a system of action,” said
Orchestrating AI:
Domo’s new framework is designed to help companies move from the increasingly common pilot AI experiments that incur technical debt for engineers to coordinated AI systems living in their production environment. Domo’s AI and Data Products Platform provides a centralized environment for building and managing AI agents that operate with trusted, governed business data. At the center of the announcement is the
Within the
To power these agents, teams can create AI Toolkits, packaged sets of capabilities that define what an agent can do. Toolkits allow users to combine tools, data, and workflows with the instructions and business context that guide how an agent operates. These reusable packages can include operational logic and domain-specific knowledge, enabling agents to take on roles such as a financial analyst or operations manager.
These toolkits may be created by customers, provided by Domo for common use cases, or connected to external services. Assigning toolkits to agents allows organizations to control the actions and systems those agents can access. Toolkits can also be exposed externally through MCP, allowing AI assistants such as Gemini or Claude to access those capabilities through the Domo MCP Server.
Agents built with these tools can be deployed across multiple experiences, including customizable AI chat interfaces embedded into dashboards, applications, and workflows across the Domo platform.
These capabilities allow leaders to build what many describe as an “AI workforce,” specialized agents that support teams and automate work directly within business operations.
“Domo is the foundation for how we’re operationalizing AI for business intelligence across our organization,” said
Domo MCP Server Connects Enterprise Data to the AI Ecosystem
A key component of today’s announcement is the Domo MCP Server, which extends Domo AI Toolkits and agents to external AI platforms such as Claude, Gemini, and ChatGPT. Through MCP, these systems can securely interact with Domo data, services, and workflows. Built on the emerging Model Context Protocol (MCP) standard, the Domo MCP Server acts as a universal connector, giving AI tools access to governed enterprise data and actions inside Domo.
Through MCP, AI assistants can:
- Query datasets and analytics
- Trigger workflows and automation
- Create dashboards and applications
- Configure alerts and operational processes
While traditional integrations often return simple text responses, Domo's MCP implementation allows AI tools to render interactive business experiences directly inside chat interfaces, including dashboards and other interactive workflows.
For example, a sales leader could ask an AI assistant to analyze pipeline risk and instantly receive an interactive dashboard with filters and drilldowns. A manager could create a real-time inventory alert through a guided wizard inside a conversation, without navigating menus or building reports manually.
This approach allows intelligence to move seamlessly between AI tools and enterprise systems without duplicating logic or compromising governance.
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Today's announcement builds on Domo's broader vision for the Intelligent Enterprise, an operating model where people orchestrate AI agents and data systems to improve decisions and accelerate outcomes.
As businesses adopt more AI agents, the need for a coordination layer becomes critical, one that connects enterprise data and workflows under consistent governance.
Domo’s platform provides that coordination layer, enabling businesses to connect data across systems, establish shared semantic context, and deploy AI-driven automation where work happens.
Together, these capabilities ensure AI systems operate with a shared understanding of business context, bridging the gap between raw data and AI-powered outcomes.
About Domo
Domo is an AI and Data Products Platform that helps companies of all sizes leverage data and AI to drive value in today’s data-driven world. Built around our customers’ preferred data foundation, powered by our award-winning Domo.AI solution, and enriched with our partner ecosystem, the Domo platform enables users to prepare, visualize, automate, distribute, and build end-to-end data products that provide solutions across the entire data journey. From hydrating your data foundation, to building fully embedded applications that can be shared with your employees and customers, to deploying AI models across a variety of providers, Domo gives users the ability to build data products that generate measurable value for the business.
For more information, visit www.domo.com. You can also follow Domo on LinkedIn, X, and Facebook.
Forward-Looking Statements
This press release contains forward-looking statements within the meaning of Section 27A of the Securities Act of 1933 and Section 21E of the Securities Exchange Act of 1934 and the Private Securities Litigation Reform Act of 1995. These forward-looking statements include, but are not limited to, Domo's business strategy, product release plans, and opportunities. Forward-looking statements are subject to risks and uncertainties and are based on potentially inaccurate assumptions that could cause actual results to differ materially from those expected or implied by the forward-looking statements. Actual results may differ materially from the results predicted, and reported results should not be considered as an indication of future performance. The potential risks and uncertainties that could cause actual results to differ from the results predicted include, among others, those risks and uncertainties included under the caption "Risk Factors" and elsewhere in our filings with the
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Source: Domo
