Latest news with #TeradataMCPServer
Techday NZ
30-07-2025
- Business
- Techday NZ
Teradata launches MCP Server for trustworthy enterprise AI
Teradata has announced the launch of its open-source MCP Server – Community Edition, a framework aimed at enabling AI agents and users to query, analyse, and manage enterprise data with increased efficiency and trust. The MCP Server has been developed on Teradata's Vantage platform and is intended to provide AI agents with the necessary context for delivering meaningful outcomes. The server includes integrated features for data quality, security, feature management, and retrieval-augmented generation (RAG), designed to help businesses develop AI agents that are context-aware and trustworthy. In addressing the challenge of providing AI agents with adequate access to enterprise data, Teradata is targeting the difficulties organisations face as they transition from simply building advanced AI models to achieving meaningful insights from dispersed, complex data sets. The MCP Server offers AI developer tools, security prompts, feature store management, and custom tool integration. According to Teradata, these elements are intended to establish a modular, open-source base to create AI agents capable of reasoning, memory, and precise action within enterprise environments. "With the launch of the Teradata MCP Server, we're giving our customers a powerful new way to unlock the full potential of agentic AI. Success in this new era of AI hinges not just on model sophistication, but on meaningful context. By providing AI agents with trusted, transparent access to enterprise data, we're enabling our customers to build intelligent systems that are not only more capable, but also more aligned with real-world business needs. This is a major step forward in making AI truly enterprise-ready," said Louis Landry, Chief Technology Officer at Teradata. The company states that AI agents powered by Teradata Vantage and the MCP Server can deliver the required context, scale, and trust demanded by contemporary organisations. This approach is aimed at helping customers transition from isolated AI trials to deploying operational, context-aware agents across projects and departments more efficiently, with a focus on enhancing business outcomes. Healthcare use case In the healthcare sector, the MCP Server – Community Edition is being positioned as a practical solution for integrating data across fragmented sources such as electronic health records (EHRs), telehealth platforms, wearable devices, and various lifestyle data inputs. Data fragmentation has been a persistent obstacle to clinicians seeking a comprehensive patient view. Teradata proposes that the MCP Server, operating in conjunction with Vantage, can provide full-context patient intelligence by consolidating data from EHRs, lab results, prescriptions, telehealth transcripts, and patient-generated sources into a single, unified platform. This enables AI agents to access comprehensive data in context, supporting clinicians with personalised, context-aware recommendations. With support for predictive analytics, generative AI, and real-time operational insights provided by ClearScape Analytics, Teradata's platform is intended to enable AI agents to detect early warning signs, recommend treatment adjustments, and give evidence-based insights - all while centralising and securing patient data. From a technical perspective, the ability to perform high-scale analytics on millions of patient records or to generate immediate alerts is a design focus, with Teradata Vantage seeking to deliver these features in a cost-effective manner. This scalability is positioned as essential for healthcare providers aiming to expand personalised care while maintaining compliance requirements and operational routines. Technical features The MCP Server – Community Edition includes a set of modular and extensible tools enabling AI agents to interact with enterprise data: Developer tools for streamlined administration and database management Data quality tools to promote effective data analysis and ensure integrity Security tools for resolving data access and permission issues Feature store tools supporting the operationalisation of features for machine learning and AI applications RAG tools to simplify the development and management of vector stores for retrieval-augmented generation use cases Custom tools for deployment aligning with specific business and data contexts These capabilities have been structured to assist organisations in constructing AI agents that are not only equipped with intelligence but are also closely integrated with a business's operational and analytical processes. Teradata Vantage customers are able to access and implement the MCP Server for AI agent development and deployment with immediate effect.
Techday NZ
30-07-2025
- Business
- Techday NZ
Teradata launches MCP Server to boost AI in enterprise data
Teradata has announced the release of the open-source Teradata MCP Server – Community Edition, a framework designed to facilitate querying, analysis, and management of enterprise data by AI agents and users. Built on the Teradata Vantage platform, the MCP Server aims to provide AI agents with enhanced context and tools for more effective decision-making across large organisational datasets. Teradata states that this framework includes capabilities for data quality, security, feature management, and retrieval-augmented generation (RAG), enabling the development of AI agents that are context-aware and able to operate at scale. AI context and trusted data The shift towards agentic AI has exposed challenges related not only to model advancement but to accessibility of relevant enterprise data. Teradata's MCP Server is designed to address these challenges by granting AI agents what the company describes as "deep semantic access" to organisational information, thus bridging the gap between raw data inputs and actionable intelligence. "With the launch of the Teradata MCP Server, we're giving our customers a powerful new way to unlock the full potential of agentic AI," said Louis Landry, Chief Technology Officer at Teradata. "Success in this new era of AI hinges not just on model sophistication, but on meaningful context. By providing AI agents with trusted, transparent access to enterprise data, we're enabling our customers to build intelligent systems that are not only more capable, but also more aligned with real-world business needs. This is a major step forward in making AI truly enterprise-ready." The MCP Server includes modular components, supporting integration for AI developer tools, security prompts, feature store management, and custom tool incorporation. According to Teradata, this structure is expected to enable the building of trusted AI agents that can handle complex reasoning, memory retention, and action with an enterprise focus. Healthcare use case In the healthcare sector, fragmentation of patient data across multiple systems such as electronic health records (EHRs), telehealth platforms, and personal devices is a persistent challenge. The MCP Server, leveraging Teradata Vantage, has been positioned as a solution for unifying these sources, thus allowing AI agents to operate with what the company calls "full-context intelligence" and to bridge the data silos that hinder clinicians' view of patient health. Teradata states that by consolidating EHRs, lab results, prescription data, telehealth transcripts, and patient-generated content onto a single integrated platform, the MCP Server allows AI agents to generate context-aware recommendations to support clinical decision-making. The inclusion of ClearScape Analytics provides built-in support for predictive analytics and generative AI alongside operational insights, which can facilitate tasks such as detecting early warning signs, suggesting treatment modifications, and providing evidence-based recommendations while keeping data within its native environment. Operational scale and efficiency Teradata Vantage is engineered to support analysis at significant scale, with the goal of enabling healthcare organisations to expand their use of personalised care while managing operational costs and compliance requirements. According to the company, by utilising the MCP Server in such scenarios, healthcare providers can build AI agents capable of both accurately interpreting varied health data and taking action based on those insights, potentially leading to improved patient care outcomes. Technical features The MCP Server is provided as a modular and extensible system for AI agents to operate with various operational tools. Key features as detailed by Teradata include: Developer tools designed to ease platform administration with tailored prompts and resources for database management. Data quality tools focused on accelerating exploratory analysis and maintaining data integrity. Security tools to address access and permission controls with embedded security prompts and workflows. Feature store management for machine learning and AI applications. RAG tools to facilitate creation and management of vector stores for retrieval-augmented generation use cases. Custom tools allowing deployment of resources specific to organisational needs. Teradata describes these combined capabilities as designed to support the development of AI agents that are both intelligent and integrated with an organisation's operational and analytical infrastructure. The MCP Server is now available to Teradata Vantage customers for use in building and deploying AI agents.
