Neo4j plugins

Build, query, and manage Neo4j graph databases across the full stack: Cypher query generation and optimization, driver integration (Python, Java, Go, .NET, JavaScript), GraphRAG and vector search pipelines, data ingestion and import, Aura cloud provisioning, Kafka streaming, GraphQL API generation, and performance tuning.

Enforces a structured 5-stage coding workflow (plan → design → tests → implementation → review) using session-aware rule injection, mode-based gates, and lifecycle hooks that block unsafe operations until each phase is explicitly approved.

Consult a senior DBA for expert guidance on schema design, database selection from 230+ engines (SQL/NoSQL/vector/time-series/streaming), query optimization, performance troubleshooting, HA/replication setup, migrations, security hardening, monitoring/alerting, capacity planning, backups/recovery, and IaC with Terraform/Kubernetes across relational, document, graph, and cloud-native databases.

Run local MCP servers to query Neo4j graph databases with Cypher, traverse graphs, inspect schemas, manipulate data, manage Aura cloud instances, store and retrieve memory, and design graph schemas using your credentials.

Runs a structured research pipeline: question tree → source discovery → zero-context fetch → .mv2 indexing → REPL-based distillation into compact expertise artifacts, plus sandboxed Python code execution in isolated Docker containers for data analysis and DSPy sub-agents.