MCP Agent-ready Data from DUN & Bradstreet
Gives AI agents verified Dun & Bradstreet business data for credit, supplier, and growth decisions.
Publisher
Dun & Bradstreet
Product Details
Dun & Bradstreet brings its most in-demand business datasets to Google Cloud through Model Context Protocol (MCP) servers, giving AI agents high-quality, context-rich business data for enterprise decisions. Teams use it to identify growth opportunities, assess business credit risk, and evaluate suppliers with consistent, trusted data.
The servers are part of the D&B.AI suite and anchor AI outputs to verified entities through the D-U-N-S Number, the global standard for business identification, which improves accuracy and reduces hallucinations. Tools cover company matching, business events and legal filings, financial risk indicators, small business risk insight, senior executive contacts, and ESG scores.
Key Use Cases
Supplier Risk Assessment and Financial Health Monitoring
Empowers procurement and risk officers to evaluate prospective vendors by matching company identities to D-U-N-S records and retrieving failure scores, delinquency trends, and legal filings.
Corporate ESG and Supplier Diversity Verification
Allows enterprise compliance teams to verify minority, woman, or veteran-owned business certifications and ESG performance indicators to meet corporate sustainability and supplier governance goals.
Explore detailed deployment path
Requires Gemini. Access integration prerequisites, specialized agent configuration guides, and implementation documentation.