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Database Components

The Database category includes specialized agents, MCPs, and commands for database architecture, optimization, migrations, and platform-specific integrations.

Browse Database Components

Explore all database components at aitmpl.com

Quick Install

Database Agents

Database Architect

Expert in database schema design, normalization, and architectureExpertise:
  • Schema design and normalization
  • Data modeling (ER diagrams)
  • Index strategy
  • Partitioning and sharding
  • Replication architecture
  • Backup and recovery planning
Technologies:
  • PostgreSQL, MySQL, MongoDB
  • Redis, Cassandra, DynamoDB
  • Database design patterns
  • Capacity planning
Example Usage:

Database Administrator

Database administration, maintenance, and operationsExpertise:
  • Database configuration
  • Performance tuning
  • Backup and recovery
  • User and permission management
  • Monitoring and alerting
  • Disaster recovery

Database Optimizer

Query optimization, indexing, and performance tuningExpertise:
  • Query performance analysis
  • Index optimization
  • Query plan analysis (EXPLAIN)
  • Connection pooling
  • Caching strategies
  • Slow query detection
Techniques:
  • Index selection and design
  • Query rewriting
  • Materialized views
  • Partitioning strategies
  • Denormalization when needed
Example Usage:

Database Optimization

Systematic database performance optimization

PostgreSQL Specialists

Postgres Pro

PostgreSQL expert for advanced features and optimizationExpertise:
  • Advanced SQL features (CTEs, window functions, LATERAL joins)
  • PostgreSQL-specific features (JSONB, full-text search, arrays)
  • Extensions (PostGIS, pg_stat_statements, pg_cron)
  • Replication (streaming, logical)
  • Connection pooling (PgBouncer)
  • Performance tuning
Use cases:
  • Complex query optimization
  • Full-text search implementation
  • Geospatial queries with PostGIS
  • JSON/JSONB data handling
  • Advanced indexing (GiST, GIN, BRIN)

NoSQL Specialist

NoSQL databases (MongoDB, Cassandra, Redis)

Platform-Specific Agents

Neon Database Specialists

Neon Expert

Neon serverless Postgres specialistExpertise:
  • Neon branching workflows
  • Autoscaling configuration
  • Branch-based development
  • Instant provisioning
  • Connection pooling
  • Cost optimization
Example Usage:

Neon Database Architect

Neon-specific architecture and design

Neon Auth Specialist

Neon authentication and security

Database MCPs

Neon MCP

Direct integration with Neon database platformCapabilities:
  • Query databases directly from Claude
  • Create and manage database branches
  • Access Neon Management API
  • Monitor database metrics
  • Manage connection strings
Setup:
Example Usage:

Supabase MCP

Direct integration with Supabase platformCapabilities:
  • Query database
  • Manage authentication
  • Storage operations
  • Realtime subscriptions
  • Edge functions
Setup:

PostgreSQL MCP

Direct PostgreSQL database connection

MySQL MCP

Direct MySQL database connection

Database Commands

Supabase Management Commands

Migration Assistant

Create and manage Supabase migrations

Schema Sync

Sync local schema with Supabase

Performance Optimizer

Optimize Supabase database performance

Security Audit

Audit Supabase security and RLS policies

Data Explorer

Explore and analyze Supabase data

Backup Manager

Manage Supabase backups

Realtime Monitor

Monitor Supabase realtime connections

Type Generator

Generate TypeScript types from Supabase schema

Database Workflows

Schema Design Workflow

Migration Workflow

Performance Optimization Workflow

Best Practices

1. Schema Design

2. Query Optimization

3. Security

4. Monitoring

Real-World Examples

Example 1: E-commerce Database

Example 2: Multi-Tenant SaaS

Example 3: Analytics Database

Database Template

Includes:
  • Database architect agent
  • Database optimizer agent
  • Postgres pro agent
  • Neon MCP
  • Supabase MCP
  • Migration commands
  • Performance monitoring

Next Steps