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mcp data modeling - add v0.4.0 updates #391

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23 changes: 23 additions & 0 deletions modules/genai-ecosystem/pages/model-context-protocol-mcp.adoc
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Expand Up @@ -213,6 +213,10 @@ The https://github.com/neo4j-contrib/mcp-neo4j/tree/main/servers/mcp-neo4j-data-

This server enables you to define nodes, relationships, and properties to design graph database schemas that can be visualized interactively.

Below is the common data modeling workflow performed by agents with the Data Modeling MCP Server.

DATA MODEL WORKFLOW IMAGE

It offers these tools and operations:

Validation
Expand All @@ -236,11 +240,30 @@ Cypher Ingest
* `get_node_cypher_ingest_query` - get the Cypher query to ingest the provided node label
* `get_relationship_cypher_ingest_query` - get the Cypher query to ingest the provided relationship type

Example 7 Graphs Data Models

* `list_example_data_models` - list all available example data models with descriptions
* `get_example_data_model` - get an example graph data model from the available templates

* `patient_journey_model` - Data Model for tracking patient encounters, conditions, medications, and care plans
* `supply_chain_model` - Data Model for tracking products, orders, inventory, and locations
* `software_dependency_model` - Data Model for software dependency tracking with security vulnerabilities, commits, and contributor analysis
* `oil_gas_monitoring_model` - Data Model for industrial monitoring of oil and gas equipment, sensors, alerts, and maintenance
* `customer_360_model` - Data Model for customer relationship management with accounts, contacts, orders, tickets, and surveys
* `fraud_aml_model` - Data Model for financial fraud detection and anti-money laundering with customers, transactions, alerts, and compliance
* `health_insurance_fraud_model` - Data Model for healthcare fraud detection tracking investigations, prescriptions, executions, and beneficiary relationships

Create New Data Model Prompt

* `create_new_data_model` - provide a structured parameterized prompt for generating a new graph data model

image::https://dist.neo4j.com/wp-content/uploads/mcp-data-modeling-claude-data-discovery.png[width=400]
image::https://dist.neo4j.com/wp-content/uploads/mcp-data-modeling-claude-data-model-1-viz.png[width=400]

You can learn more about the Data Modeling MCP Server and how it can be integrated with the Cypher MCP Server in https://neo4j.com/blog/developer/neo4j-data-modeling-mcp-server/[this article^].

This https://github.com/neo4j-field/data-modeling-assistant-demo[Github repo^] walks through the process of generating a new graph data model from mock Salesforce data and ingesting it into Neo4j using the Data Modeling and Cypher MCP servers.

=== MCP-Neo4j-GDS

The Neo4j Graph Data Science Server (https://github.com/neo4j-contrib/gds-agent[GDS-Agent]) provides GDS algorithms as tools.
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