MongoDB plugins

Build and manage end-to-end data analytics workflows: implement A/B testing with statistical rigor, design reliable analytics tracking, create interactive D3.js visualizations, architect scalable database schemas, and optimize SQL for cloud-native databases.

Design normalized relational database schemas for PostgreSQL and MySQL from natural language requirements. Generate DDL statements, constraints, indexes, relationships, migrations, checklists, and Mermaid ERDs following best practices and normalization guidance.

Compare PostgreSQL and MySQL schemas across database environments to generate idempotent migration scripts with transaction safety, validation checks, rollback procedures, and detailed diff reports.

Interpret EXPLAIN plans and query metrics from PostgreSQL, MySQL, and MongoDB to detect bottlenecks like sequential scans, missing indexes, and inefficient joins. Receive targeted SQL optimization recommendations with expected performance impacts.

Audit PostgreSQL, MySQL, and MongoDB databases for security risks including misconfigurations, privileges, encryption, network exposure, default credentials, and SQL injection in app code. Run scans for 50+ OWASP vulnerabilities, generate compliance reports, automated remediation scripts, and audit trails from your IDE.

Introspect PostgreSQL, MySQL, SQLite, and MongoDB schemas to generate Markdown documentation and interactive HTML reports with ERD diagrams, relationships, indexes, constraints, views, procedures, and data dictionaries for onboarding, audits, and compliance.

Design and implement partitioning strategies for PostgreSQL and MySQL tables using range, list, hash, and composite methods to handle massive datasets. Automate schema design, maintenance routines, query optimization, and data retention policies for improved performance.

Analyze PostgreSQL, MySQL, and MongoDB query workloads to detect missing indexes causing sequential scans, identify unused indexes, recommend optimal configurations, estimate performance impacts, and generate SQL scripts for index creation and drops.

Implement event-driven APIs by generating publishers and subscribers that integrate with message brokers, webhooks, and Server-Sent Events, handling retries, dead-letter queues, and event schemas for scalable microservices and distributed systems using Redis, PostgreSQL, MongoDB, and AWS in Node.js or Python.

Detect and resolve database deadlocks in PostgreSQL, MySQL, and MongoDB by running lock queries, parsing logs, tracing code, and applying preventive patterns. Generate Python and Node.js monitoring scripts, SQL analyzers, prevention docs, and dashboards for ongoing deadlock management.

Implement horizontal database sharding for PostgreSQL, MySQL, and MongoDB at massive scale. Select shard keys, analyze data distribution, route queries, rebalance shards, and generate router code, migration plans, and monitoring setups using consistent hashing and virtual nodes.

Set up real-time monitoring for database transactions in PostgreSQL, MySQL, and MongoDB to detect long-running queries, lock contention, idle sessions, throughput issues, and rollbacks. Generate Python scripts, SQL queries, and alert configs for automated performance alerting via CLI.

Audit database connections, calculate optimal pool sizes, configure app-level pooling parameters, and deploy PgBouncer or ProxySQL for PostgreSQL and MySQL to prevent exhaustion and boost throughput. Implement best practices with code examples for Node.js, Python, and Java.

Monitor PostgreSQL, MySQL, and MongoDB health via CLI queries for connections, throughput, disk usage, cache ratios, and locks. Configure alerting thresholds, receive predictive alerts with remediation guidance, and deploy Grafana dashboards using Prometheus exporters for real-time oversight.

Manage complete database migration workflows: generate timestamped up/down SQL or ORM files, validate schemas, execute migrations, perform rollbacks, and track evolution with version control for PostgreSQL, MySQL, MongoDB, and SQLite using Flyway, Alembic, Prisma, or Knex.

Generate automated backup scripts, cron schedules, restore procedures, monitoring setups, and recovery plans for PostgreSQL, MySQL, MongoDB, and SQLite databases, including compression, encryption, and retention policies with AWS support.

Implement backup strategies for databases (PostgreSQL, MySQL, MongoDB), filesystems, and AWS resources using tar, rsync, pg_dump, and S3. Automate scheduling, retention, encryption, verification, and disaster recovery, while generating configs, setup code, and documentation for production DevOps.

Automate database testing workflows by generating test suites with data factories, transaction wrappers for automatic rollback, schema validation, assertions, cleanup, fixtures, migrations, integrity checks, and performance monitoring across PostgreSQL, MySQL, MongoDB, SQLite, Redis using Prisma, Drizzle, Jest, Pytest.

Configure replication topologies, automate failover, monitor lag, resolve conflicts, and scale read replicas for high-availability setups in PostgreSQL, MySQL, and MongoDB databases.

Design and optimize NoSQL data models for MongoDB, DynamoDB, Redis, and Cassandra by analyzing access patterns, embedding vs referencing, denormalization trade-offs, sharding keys, and indexes.

Delegate specialized AI agents to design cost-optimized cloud architectures on AWS/Azure/GCP using Terraform, administer and optimize PostgreSQL/MySQL/MongoDB databases, troubleshoot DevOps outages with logs/metrics analysis, configure CI/CD pipelines with Docker/Kubernetes, and debug networks with nginx/HAProxy.

Design MongoDB schemas with best patterns and anti-patterns, generate and optimize queries from natural language using schema and indexes, tune client connections across Node.js Python Java Go drivers, implement Atlas full-text vector hybrid search for RAG, provision stream processing pipelines with Kafka S3 Lambda, and configure MCP servers via Docker or Atlas API.

Fetch latest Context7 documentation for libraries like React, Next.js, Express, or MongoDB to guide implementation of hooks, routing, APIs, or database setups directly in your workflow.

Optimize PostgreSQL, MySQL, MongoDB, and Redis performance for enterprise B2B SaaS and multi-tenant platforms by tuning queries, designing indexing strategies, configuring connection pooling, implementing scaling solutions, and setting up monitoring workflows.

Fetch up-to-date Context7 documentation for libraries like React, Next.js, Express, and MongoDB to guide implementation of hooks, routing, APIs, or database integrations during development.

Fetch up-to-date Context7 documentation for libraries like React, Next.js, Express, or MongoDB to guide implementation of hooks, routing, APIs, or database integrations during development.

Connect to MongoDB databases, explore schemas, generate queries and aggregation pipelines from natural language, analyze query performance with index recommendations, implement Atlas Search and Vector Search, and manage stream processing workflows — all from within Claude.

Optimize database performance for enterprise B2B SaaS and multi-tenant platforms by tuning queries, implementing indexing strategies, connection pooling, scaling, and monitoring setups tailored for PostgreSQL, MySQL, MongoDB, and Redis.

Optimize PostgreSQL, MySQL, MongoDB, and Redis performance for enterprise B2B SaaS and multi-tenant platforms by tuning queries, implementing indexing strategies, configuring connection pooling, and planning scaling with monitoring.

Implement offset, cursor, and keyset pagination strategies in JavaScript Node.js Express APIs with MongoDB to efficiently handle large datasets. Build paginated REST or GraphQL endpoints, enable infinite scroll, and optimize database collection queries.

Implement flexible filtering and sorting in APIs by parsing query parameters with operators like gte/lte/in, validating inputs, and enforcing security whitelists for search endpoints, data grids, and dynamic query APIs.

Develop high-performance FastAPI APIs with async route handlers for CPU/IO and database tasks, dependency injection for modular reusable services, and Pydantic v2 validation for type-safe requests and responses.

Deploy any GitHub project to Sealos Cloud with one command, managing cloud databases, S3 storage, and Docker artifacts while assessing cloud-native readiness and building Sealos Desktop apps.

Delegate database engineering to AI agents that design schemas with normalization, indexing, and migrations; optimize SQL queries through execution plans, rewrites, and parameter tuning; and engineer reliability via replication, backups, high availability, monitoring, and failover for PostgreSQL, MySQL, SQLite, MongoDB, Redis, Prisma, and Drizzle.

Generate optimized database schemas and automated migration scripts for PostgreSQL, MySQL, and MongoDB, with ORM integration for Prisma, TypeORM, Sequelize, and Mongoose to automate data persistence setup from manual specs.

Deploy, manage, and troubleshoot full-stack applications on Zeabur via CLI, covering project creation, database provisioning, domain management, template publishing, environment variables, logs, and container debugging.

Generate complete docker-compose.yml files with pre-configured services for PostgreSQL, Redis, MongoDB, MySQL, and Elasticsearch, including environment variables, networking, volumes, and health checks to spin up local multi-service environments instantly.

Delegate pagination implementation to an expert agent that selects optimal strategies like offset, cursor, or keyset, generates JavaScript code for Express APIs with MongoDB, and optimizes frontend UIs for efficient data handling and performance.

Delegate high-performance game development to AI experts: implement Unity ECS/DOTS/Burst patterns in C#, Godot 4 GDScript architecture/signals/state machines, and Minecraft Bukkit/Spigot plugins with Java APIs, player/world management, databases, performance tweaks, and Docker.

Optimize multi-tenant database performance for enterprise B2B and SaaS applications by tuning queries, refining indexing strategies, implementing connection pooling, and scaling PostgreSQL, MySQL, MongoDB, and cloud databases with AI-driven data architecture advice.

Delegate SDLC workflows to specialist AI agents that architect cloud-native systems, design databases, conduct deep web research, optimize performance and observability, distill repo knowledge, and build production agents via orchestrated pipelines.

Build high-quality computer vision datasets and models with FiftyOne: import/export datasets, run inference, evaluate predictions, find duplicates, visualize embeddings, and develop custom plugins — all from within Claude.

Dockerize Node/Python/PHP/Go apps by generating optimized multi-stage Dockerfiles, docker-compose.yaml, .dockerignore, and .env files; provision secure, persistent PostgreSQL/MySQL/MongoDB/Redis containers with health checks; configure SSL/TLS proxies via Traefik or Nginx; diagnose and fix container failures, networking, permissions, and port issues using logs and docs.

Guides building Go event-driven microservices with the xgodev/boost framework: boot sequence, config, logging, caching, and factories for Kafka, NATS, Pub/Sub, MongoDB, Redis, Elasticsearch, AWS, gRPC, and more.

Scaffold, generate, and deploy production FastAPI backends with Beanie MongoDB models/CRUD, Keycloak auth, Redis caching, ARQ/Celery tasks, WebSockets, pytest tests/migrations; add structlog/Prometheus/OTel observability; containerize with Docker/Helm K8s; optimize performance and audit security.

Architect scalable databases by selecting SQL/NoSQL/TimeSeries technologies, designing normalized schemas with PostgreSQL best practices, planning migrations, and optimizing complex SQL queries for OLTP/OLAP performance in cloud-native systems like PostgreSQL, MySQL, MongoDB, Redis, and DynamoDB.

Orchestrate BMAD project workflows: plan epics/stories and sync with GitHub Projects, manage git branching across multi-repo projects, write and debug TypeScript/NestJS unit and E2E tests with real Docker infrastructure, create MCP servers for LLM tool integration, convert books to structured skills, produce UI/UX design guidance, and investigate production incidents with structured root-cause analysis.

Scaffold and configure complete Better Auth authentication systems in TypeScript/JavaScript apps using Next.js, SvelteKit, Astro. Set up server/client with Prisma/Drizzle/MongoDB/Redis adapters, OAuth providers, email/password flows, 2FA/MFA, and multi-tenant organizations with RBAC and team management.

Generate CRUD application services, scaffold DDD entities end-to-end, review code against ABP v10.4 best practices, and audit solutions for migration to .NET 10 with multi-tenancy, modularity, and microservice support.

Automate Playwright E2E smoke tests for authentication, APIs, databases, external services like Stripe, and critical user journeys to gate deployments on failures. Generate test specs from user flows, execute with traces, analyze screenshots, and reduce flakiness.

Manage and orchestrate multi-tenant MERN platforms with Keycloak authentication, Docker microservices, and automated test generation. Streamlines environment configuration, service health monitoring, and tenant provisioning for the-lobbi/keycloak-alpha.

Automate comprehensive code reviews for MERN stack projects, prioritizing health checks like builds and tests, then auditing security, maintainability, performance, architecture, and best practices. Generate Node.js backend tests for Express routes and MongoDB models using detected frameworks like Jest. Optimize Mongoose queries by refactoring for efficient data flow and batching.

Configure Infisical Dynamic Secrets to generate on-demand short-lived credentials for PostgreSQL, MySQL, Redis, MongoDB databases, AWS and GCP IAM roles, SSH certificates, and Kubernetes service accounts, including prerequisites, TTL settings, and lease management across 27 providers.

Write reliable integration tests in .NET and Go by spinning up disposable Docker containers for databases (PostgreSQL, MySQL, Redis, MongoDB), message queues (Kafka, RabbitMQ), and services using Testcontainers. Handle networking, wait strategies, cleanup, and CI/CD workflows.

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.

Scaffold new or migrate existing monday.com code apps with React/Vite frontend and Express/Node backend to serverless/CDN deployment. Run local dev servers with Vite, Express, and Docker MongoDB. Manage production with multi-region deploys, env vars/secrets, cron jobs, alerts, security scans, logs, and status checks via Monday API.

Manage Prisma ORM end-to-end: design schemas, generate clients, run migrations and db operations across Postgres/MySQL/SQLite/MongoDB, provision cloud Postgres, implement custom drivers, query with Prisma Client, upgrade v6 to v7, and execute CLI via local MCP server.

Manage Azure DocumentDB (MongoDB-compatible) clusters end-to-end: provision infrastructure, design data models, optimize indexes and queries, configure vector and full-text search, set up high availability and disaster recovery, enforce security, and monitor performance — all from natural language or guided skills.