A significant hurdle in enterprise AI adoption - the disconnect between AI assistants and trusted corporate data - is being addressed with a new integration-focused solution. Actian, the data division of HCLSoftware, has announced the launch of the Actian Model Context Protocol (MCP) Server, a new capability for its Data Intelligence Platform. This server enables enterprises to bring governed, high-quality data directly into AI assistants like Claude and ChatGPT, transforming a static data catalog into an active, intelligent component of AI workflows.
Quick Intel
Actian launches a Model Context Protocol (MCP) Server for its data platform.
It connects governed enterprise data directly to AI assistants like Claude and ChatGPT.
The server uses a knowledge graph to provide semantic understanding of data relationships.
Key features include semantic search and data model relationship mapping.
It aims to eliminate errors and context-switching between AI tools and data catalogs.
The solution addresses a critical friction point in scaling AI agent effectiveness.
Eliminating the AI-Data Friction Point
A major barrier to scaling AI effectively is the constant toggling data professionals must do between their AI assistant and a separate data catalog. This context switching introduces errors and slows decision-making. The Actian MCP Server acts as an intelligent gateway that securely bridges this gap using the open MCP standard. It connects AI agents directly to Actian's knowledge graph-powered data catalog, providing them with governed data and a deep understanding of business context and data relationships.
Enabling Semantic Understanding with a Knowledge Graph
The key differentiator of Actian's solution is its foundation in a knowledge graph. Unlike simple keyword matching, this allows the MCP Server to provide AI assistants with enhanced semantic understanding. When a user asks a question about "revenue," the system understands the business concept and can return related terms like "income" and "sales," as well as map the complex relationships between different data tables. "The key to making AI assistants truly useful for data work isn't just connecting them to your data catalog—it's ensuring they understand the context," said Emma McGrattan, CTO at Actian.
Core Capabilities for Accelerated Insights
The initial release of the Actian MCP Server focuses on two core capabilities to drive immediate value. The first is Semantic Search, which uses AI to find conceptually related terms in business glossaries based on meaning. The second is Get-Data-Model, which maps relationships between datasets by identifying foreign key references, giving users a complete view of how their data tables connect. These features allow users to perform complex data discovery using natural language without ever leaving their AI assistant, accelerating insights and improving decision confidence.
The launch of the Actian MCP Server represents a strategic step towards making enterprise AI more reliable and actionable. By providing a structured, governed bridge between conversational AI and corporate data assets, Actian is empowering organizations to build a stronger foundation for successful AI implementation, turning data catalogs from passive repositories into active participants in the AI workflow.
Actian empowers enterprises to confidently manage and govern data at scale. Actian data management and data intelligence solutions help streamline complex data environments and accelerate the delivery of AI-ready data. Designed to be flexible, Actian solutions integrate seamlessly and perform reliably across on-premises, cloud and hybrid environments.
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