CLIP MCP

**Overview** The Cotality CLIP MCP for Databricks brings the clarity and precision of CLIP®, Cotality’s Integrated Property ID, to the Databricks AI and data ecosystem. Built on the Model Context Protocol (MCP), this solution lets users confidently match, append, and unify property data within Databricks using Cotality’s CLIP ID, a persistent identifier that uniquely links every property in the United States. By combining Databricks’ open, governed platform with Cotality’s trusted property intelligence, organizations can achieve a single source of truth for property data, eliminate duplication, and unlock accurate, explainable insights faster than ever before. **Use cases** 1. Property Identity Resolution Match and unify property records from multiple systems, assigning a single CLIP ID to create a consistent and trusted property identity across data sources. 2. Portfolio Enrichment Enhance customer or asset portfolios with standardized property attributes, assessor parcel numbers (APNs), and confidence scores for improved analytics and reporting. 3. AI & Predictive Modeling Feed clean, standardized property data into AI and ML workflows for use in valuation, risk, and investment models. 4. Compliance & Governance Leverage built-in telemetry and Unity Catalog integration to enforce data usage policies and maintain compliance with enterprise governance standards. **Product details** Datasets represented include: - Property Identity Table - Parcel Reference Table - Match Confidence Table - Sample fields include: - clip_id - apn - standardized_address - match_confidence_score - property_use_type For more details, refer to the embedded Databricks notebook demonstrating CLIP ID matching and standardization workflows. **Additional Insights** Cotality’s CLIP® ID is the foundation of AI-ready property data — enabling clients to see every property clearly, govern data confidently, and build explainable models that drive smarter decisions. Learn more at www.cotality.com.