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.