Talk to your data. Verified, permission-based, auditable.
Goldright connects LLMs directly to your verified Golden Record via an MCP integration. There are no context gaps that lead to hallucinations.
Trusted by Industry Leaders
Why now?
Autonomous AI agents are here but your verified data never reaches them.
Siloed Systems
Autonomous agents operate separately from the systems that hold your reliable data. Without real-time context, they hallucinate or deliver outdated results.
Costly Custom Integrations
Programming each interface individually is costly, error-prone, and slows innovation — and without permissions and an audit trail, the business case stalls.
Not another connector; one standard that securely links AI to verified master data.
One Standard Instead of Silos
An open standard securely connects AI with verified master data, instead of fragile point-to-point interfaces. New agents can be integrated much faster.
Security From the Start
Granular permissions and a complete audit trail are part of the architecture. Direct access to your verified Golden Record ensures every action remains traceable.
30+
Enterprises empowered
20+
Years of MDM experience
99.9%
Data accuracy achieved
What is MCP – and why is it the new standard?
The Model Context Protocol is an open standard, originally initiated by Anthropic—the universal “USB-C for AI.” Any model can use it to access corporate data in a structured way, rather than having to program each connection individually and at great expense.
Until Now | With MCP |
A separate, individually programmed interface for every AI application. | A standard connection. Once connected, it can be used for any compatible AI. |
Contextualize
Privacy Automation
Mulit-Domain
Data Governance
Don’t guess. Know.
Talk to our team about your specific system landscape: which data sources are relevant for MCP, what your authorization and audit trail requirements should look like, and what kind of integration is needed.
Assessment of your current data architecture
Evaluation of authorization logic and audit requirements
Specific next steps for your use case
An MCP server is only as trustworthy as the data behind it
The crucial question isn't whether AI gets access – but to what.
Quick access. But to unverified data.
Contradictions & Duplicates
Contradictions, duplicates, and outdated information are identified and highlighted by the AI.
No Traceability
No consistent authorization logic, no traceability of responses.
Access to a single, verified dataset.
A Verified Repository
Legal entities, organizational structures, identities, and master data. All in a single, verified repository.
Governance Built In
Granular permissions and a complete audit trail are part of the architecture, not an add-on.
ARCHITECTURE AND WORKFLOW
How the Goldright MCP Integration Works
From question to verified answer in three steps. Every access is subject to authorization checks and documented in the audit trail.
1. Request
An AI assistant or autonomous agent asks a question in natural language. Via the open MCP standard, without custom programming.
2. Verification and Processing
The Goldright MCP server verifies the user’s permissions and retrieves only approved data from the verified Golden Record.
3. Verified Answer
The AI responds based on the source and in accordance with the user’s permissions. Every access is documented in the audit trail in a traceable manner, in real time.
Häufige Fragen zum Goldright MCP Server
- An MCP server is a software component that provides data sources, tools, and functions for AI applications in a structured manner based on the open Model Context Protocol. AI applications such as Claude, ChatGPT, or Microsoft Copilot connect to the server via an MCP client and can access its resources in a controlled manner. The standard was initiated by Anthropic and has been further developed in a vendor-neutral manner under the Linux Foundation since December 2025.
- The Goldright MCP Server is a native interface of the Goldright Enterprise Suite that makes the Golden Record—a company’s verified master data—available to AI applications in a standardized format without the need for custom programming. The Enterprise Suite’s access controls and audit trail remain in effect for all AI access.
- A traditional API is a custom-programmed interface for predefined queries between two systems. MCP is an open standard in which a server describes its own data sources and tools, and any MCP-enabled AI application can access them without additional integration code. MCP is the more suitable pattern for AI agents with queries that are unknown in advance; traditional APIs remain useful for fixed system-to-system processes.
- No. The configurable APIs of the Goldright Enterprise Suite for ERP, CRM, and BI integrations remain unchanged. The MCP server supplements them with a standardized access method specifically for AI applications—both access methods access the same Golden Record.
- In particular, for enterprise customers in finance, manufacturing, energy, insurance, and real estate—anywhere where AI assistants and autonomous agents rely on reliable, compliant master data and where responses must be auditable.
- In principle, any application that supports the Model Context Protocol—including, among others, Claude, ChatGPT, Gemini, and Microsoft Copilot, as well as the company’s own MCP-based agents. Thanks to the open standard, the company is not tied to a specific AI provider.
- No. The Goldright MCP server adopts the Enterprise Suite’s existing authorization model. The AI application sees only the data objects and attributes for which the currently logged-in user has been granted access. There is no generic full access for AI.
- The integration features granular access control at the user level and a comprehensive audit trail. AI applications see only the data that the respective user is authorized to access; every access event is logged and can be reconstructed retrospectively.
- Yes. Every request in the Goldright Enterprise Suite is checked against the user’s permissions; only approved data is retrieved; and every access event is logged in the audit trail.
- The architecture is designed to meet European data protection and compliance requirements; permissions and traceability are built in. Details to be discussed.
- Language models operate probabilistically: without reliable context, they generate plausible but potentially incorrect answers. Master data management provides this context in the form of a verified, versioned “golden record.” Gartner predicts that by the end of 2026, approximately 60% of AI projects will be abandoned due to a lack of AI-ready data—the data foundation determines AI success.
- The MCP integration has been generally available to all Goldright Enterprise Suite customers since July 1, 2026. Existing customers should contact their Goldright representative directly for details on activation.
Talk to our Experts
Schedule a one-on-one conversation to see how native MCP integration works with your data and what a validated Golden Record means for your AI strategy.
30 minutes, focused on your specific use case.