livelihood-support

Manage welfare recipient data in Neo4j by structuring profiles in a 7-pillar graph model that links case records, strengths, and social networks. This enables cross-cutting visualization and parameterized Cypher queries for intake, ongoing support, and handover scenarios.

Visualize economic risk and social networks for welfare support by mapping them as graph relationships in Neo4j. The 7-pillar model links recipient profiles with legal and financial risk nodes, allowing case workers to see interconnected risk factors and support networks in a single view.

An MCP tool executes Cypher queries safely for welfare data management by using parameterized templates instead of raw query strings. This prevents injection risks while enforcing Safety First rules like NgApproach and EconomicRisk priority flags during data access.

Yes, you can use a graph database for welfare case handover and risk assessment. The Neo4j 7-pillar model structures recipient information so that profiles, risks, and social networks transfer seamlessly, ensuring continuity of care and prioritizing safety during transitions.

Yes, you need Neo4j setup to run welfare data management with an MCP server. Clone the repository, run setup.sh to initialize the Neo4j database and MCP connection, then link Claude to the MCP server to begin querying recipient data safely.

Apply Safety First rules in welfare support data queries whenever handling recipient intake, ongoing support, or handover. The NgApproach and EconomicRisk parameters must be prioritized to prevent secondary harm and ensure appropriate intervention sequencing.