Now You Can Trust Your AI Assistants

The fix is context: shared business meaning, metadata, lineage, quality rules, and ownership. The practical question is how to deliver that context to the AI assistants your teams already use. 

The Accurity MCP Server is that delivery mechanism. It exposes Accurity’s governed metadata to any AI assistant that supports the open Model Context Protocol. Claude, ChatGPT, Microsoft Copilot, and any other MCP-compatible client can now ask Accurity instead of guessing, and act on what they learn. 

What Is the MCP Server?

Model Context Protocol (MCP) is an open standard for connecting AI assistants to external systems. The Accurity MCP Server implements that standard and exposes Accurity’s metadata as a set of tools the AI can use in real time. The server is offered as an add-on, with multiple delivery options to fit on-premises and cloud installations alike. 

What Questions Can Your Team Ask?

Through the MCP Server, AI assistants can answer real data questions on demand. A few examples of what becomes possible from any chat window: 

• “What does our company mean by ‘Active Customer’?” returns the official glossary definition with its owner. 

• “Where is sensitive customer data stored and how is it classified?” returns the right datasets, their classifications, and stewards. 

• “Show me the lineage for the revenue calculation.” returns end-to-end technical and business lineage. 

• “Which datasets are certified and meet our quality threshold?” returns assets filtered by data quality results. 

• “Who do I ask if I want to change this field?” returns the responsible domain and steward. 

• “What are the standard reference values for country codes?” returns the right reference list. 

Behind the scenes, the AI can reach the full Accurity metadata graph: business glossary, data catalog, lineage, ownership and domains, classifications, data quality results, custom properties, and reference data. Capabilities exposed through the MCP Server include search and discovery, lineage traversal, glossary read and write, classification read and write, ownership lookup, data quality result lookup, and reference data access. 

Beyond Reading: AI Can Also Take Action

The MCP Server is bidirectional. Beyond answering questions, AI assistants can also create and update governed metadata in Accurity. This unlocks a new category of AI-powered governance work that until now had to be done by hand: 

• “Suggest a definition for the new term Active Customer based on how it is used in our catalog.” AI proposes a draft glossary term, ready for human review. 

• “Add this column to the existing data structure description and update its classification to PII.” AI updates the metadata on the right asset. 

• “Link these business terms to the matching catalog objects.” AI proposes the connections, complementing the existing Accurity Business Lineage AI Suggestions feature. 

• “Tag all datasets in the Finance domain with the responsible steward.” AI applies bulk updates within the steward’s authorized scope. 

Every change follows the same role-based permissions and Domain Management rules that govern human users, and every change is auditable. AI does the busywork. Your stewards stay in control. 

See It in Action

Three short examples of what becomes possible: 

• A data analyst asks Claude: “Which tables hold our customer revenue data, who owns them, and what is the data quality score?” Claude calls the Accurity MCP Server and returns the right tables, the owner, and the latest DQ result, all grounded in governed metadata. 

• A compliance officer asks Microsoft Copilot: “Which datasets contain PII classified data and who is the steward?” Copilot returns the classified assets, their stewards, and the lineage of where the data flows. 

• A data engineer asks ChatGPT: “Add a new business term ‘Active Customer’ linked to the customers table and propose a definition.” ChatGPT creates a draft term in Accurity, ready for a human steward to review and approve. 

Key Benefits

• Ground AI assistants in trusted metadata, so answers are based on governed business context instead of guesswork 

• Reduce AI misinterpretation in workflows that touch enterprise data 

• Empower business users to query the catalog and glossary in natural language from any MCP-compatible assistant 

• Let AI take action under control, since both read and write operations follow Accurity’s existing roles and domains 

• Future-proof your AI stack with an open standard adopted across the industry 

Why It Matters

Most enterprise AI pilots stall in production because the agents lack trusted business context. Without knowing what the company means by “customer,” what classifies as PII, or which dataset is certified, the model guesses, and guesses become risk. 

Metadata is the missing context. By exposing Accurity’s governed metadata through the open MCP standard, the Accurity MCP Server brings business meaning, ownership, classifications, and quality directly to the AI tools your teams already use. This joins Accurity to the open standard adopted across the leading governance platforms, while preserving the breadth of coverage that Accurity customers expect from a single source. 

When AI assistants can ask Accurity instead of guessing, governance becomes an enabler of AI, not a bottleneck. 

👉 Learn more about how the Accurity MCP Server brings governed metadata to your AI assistants.