INTEGRATION
D&B AI Connectors for Enterprise LLMs & Agent Workflows
Bring D&B intelligence where decisions are made
AI agents and LLMs are only as reliable as the context they receive. D&B AI Connectors embed verified business identity and commercial intelligence directly into the AI platforms your teams already work with — via the Model Context Protocol (MCP) and native platform integrations.
Each connector is purpose-built and maintained by D&B, so your agents and workflows can act on trusted D&B Commercial Graph data without custom engineering work.
MCP-native integrations
D&B AI Connectors are built on the Model Context Protocol — the emerging standard for connecting AI agents and LLMs to live data sources.
Always up-to-date
Each connector is maintained by D&B as platforms evolve, so your agents always act on fresh Commercial Graph data without re-engineering.
Works across AI platforms
From Claude and OpenAI to Microsoft Copilot, Google Gemini, and Snowflake Cortex — D&B MCP connectors are purpose-built for the platforms your teams use.
MCP-native integrations
D&B AI Connectors are built on the Model Context Protocol — the emerging standard for connecting AI agents and LLMs to live data sources.
Always up-to-date
Each connector is maintained by D&B as platforms evolve, so your agents always act on fresh Commercial Graph data without re-engineering.
Works across AI platforms
From Claude and OpenAI to Microsoft Copilot, Google Gemini, and Snowflake Cortex — D&B MCP connectors are purpose-built for the platforms your teams use.
Featured MCP Connectors
MCP enables AI agents to access trusted, governed D&B Commercial Graph intelligence — delivering reliable context for more accurate decisions and scalable, real-world workflows.
Claude MCP Connector for D&B Risk Analytics
Execute risk, compliance, and onboarding workflows directly in Claude, combining natural language reasoning with verified business context and policy-aligned decision logic to deliver consistent, auditable outcomes grounded in a system of record.
- Execute KYC/KYB onboarding, screening, and due diligence through a single interface
- Apply consistent risk logic and policy standards across decisions
- Analyze business identity, ownership, and risk signals with grounded, explainable outputs
- Generate audit-ready decisions and documentation to support regulatory requirements
ChatGPT Connector for D&B Finance Analytics
This connector enables D&B Finance Analytics capabilities within OpenAI’s ChatGPT, supporting commercial credit origination and portfolio management workflows through an embedded AI decisioning layer.
- Evaluate applications and set credit limits based on credit policies.
- Review portfolios to uncover risk and opportunity.
- Monitor changes in risk and prioritize follow-up actions.
- Streamline credit workflows from assessment through ongoing portfolio management.
Databricks Connector for D&B.AI MCP Agent-ready Data
Get AI-ready business data delivered via MCP servers, giving agents trusted, verified context grounded in the D‑U‑N‑S® Number for more accurate, reliable decisions at scale.
- Power AI agents with trusted, context-rich business data.
- Improve accuracy and reduce hallucinations with verified entity data.
- Support scalable deployment of agentic systems across enterprise AI use cases.
D&B Commercial Graph for Amazon Quick
This MCP-based connector brings the D&B Commercial Graph into Amazon Quick, enabling access to D&B’s verified business information for a continuously validated view of business identity, ownership, and relationships to power AI-driven workflows across sales, marketing, and finance.
- Identify and prioritize prospects using natural language prompts.
- Gain deeper insight into customers and buying organizations.
- Uncover new opportunities and improve audience targeting.
- Assess risk and verify business relationships at scale.
Put Agentic Workflows into Action Today
Activate AI-powered workflows with built-in access to trusted D&B Commercial Graph intelligence — helping teams move faster from insight to action.
Microsoft Copilot Graph Connector for D&B Commercial Graph
A no-cost, curated sample of verified business data from the D&B Commercial Graph to support AI‑powered workflows, providing access to foundational information on tens of thousands of global public and private companies.
- Quickly understand potential customers and accounts.
- Explore companies by industry, size and geographic presence.
- Identify prospective partners across regions and industries.
- Make more informed decisions with greater confidence.
Google Business Verification Agent
Verify business identities in onboarding and KYX workflows in under 500ms using D‑U‑N‑S Number resolution. Leverage the trusted D&B Commercial Graph to improve match accuracy, reduce friction, and support compliant customer verification at scale.
- Instant entity matching with high-confidence business identity resolution.
- Watchlist screening to flag risk for global compliance.
- Enriched beneficial ownership insights to support transparency requirements.
- Compliant audit trail to document verification decisions.
D&B Commercial Graph for Snowflake Cortex
No-cost synthetic data samples from the D&B Commercial Graph to support Cortex-ready workflows. Query datasets conversationally, with no SQL required.
- Query D&B data using natural language prompts.
- Explore data, analyze changes, and segment attributes.
- Sample curated insights such as companies, contacts, and educational institutions firmographics.
- Broaden access beyond technical teams and SQL users.
Endless flexibility with D&B Direct+ Data Blocks MCP
Securely connect your AI assistants and AI agents to trusted, real-time Dun & Bradstreet business data using the open MCP standard.
Retrieve company information, risk insights, and business intelligence directly within your AI workflows—without complex custom integrations.
Interested in getting started?
Ready to build AI on a foundation of trusted data?
Talk to a D&B AI specialist and discover how to embed world-class business intelligence into your AI strategy. From proof of concept to production.
FAQ over D&B.AI
How does D&B data improve AI model accuracy?
D&B’s verified entity data — including the D-U-N-S® Number, financial indicators, and ownership hierarchies — provides the ground-truth context that AI models need to make reliable predictions. By resolving entities consistently and enriching records with fresh signals, your models avoid the garbage-in, garbage-out problem that limits generic training data.
How does the D&B Commercial Graph fit alongside our existing data stack?
The D&B Commercial Graph complements your existing data stack by adding a trusted global business intelligence layer. Built on hundreds of millions of verified business identities linked through the D-U-N-S® Number, it connects corporate hierarchies, ownership relationships, and rich contextual metadata. This gives AI agents the context they need to understand when, where, and how business data, analytics, and risk insights can be applied within intelligent workflows.
What makes Altares Dun & Bradstreet different from other business data providers?
Our data is collected directly from authoritative sources, including government registries, financial statements, trade exchanges, and verified business inquiries. Every company profile is built around the globally recognized D-U-N-S® Number, providing a consistent and reliable business identity instead of relying on uncertain record matching. This enables AI applications to work with trusted, persistent company identifiers, enriched with available source attribution and data lineage for maximum transparency.
How up-to-date is the data my AI will see?
The D&B Commercial Graph is continuously refreshed with new business intelligence from around the globe. Daily updates capture changes to corporate structures, legal status, financial performance, and other critical business events, ensuring your AI applications operate on accurate, up-to-date company data rather than outdated snapshots.
How do you prevent hallucinated entities and merge subsidiaries?
Every organization is linked to a verified D-U-N-S® Number, providing a unique and persistent business identity. Native corporate hierarchy mapping enables AI systems to accurately distinguish legal entities while maintaining clear visibility into parent companies and complex ownership structures—without relying on potentially ambiguous company names or addresses.
Is the D&B Commercial Graph ready for RAG and agentic workflows?
Absolutely. The D&B Commercial Graph is purpose-built for modern AI applications, including Retrieval-Augmented Generation (RAG) and agentic workflows. Its structured, governed, and AI-optimized data model enables reliable retrieval, while attribute-level lineage provides complete transparency, making every AI-generated response explainable and auditable.
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