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Manage AWS infrastructure — EC2 instances, S3 buckets, Lambda functions, CloudWatch logs, and IAM roles. Official Amazon build that gives AI assistants controlled access to your AWS environment for cloud resource management.

Autonomous cybersecurity tool execution — runs 150-plus security tools for penetration testing, vulnerability scanning, and bug bounty automation. Designed for security researchers who want AI-assisted reconnaissance and automated security assessment workflows.

Indexes your local codebase into a graph database for AI-powered code analysis. Maps relationships between files, functions, classes, and imports — then visualizes the graph so you understand complex codebases at a glance.

Manage Appwrite projects — databases, storage, users, functions, and authentication. Full backend management through AI for the open-source BaaS platform. Great for rapid prototyping and backend-as-a-service workflows.

Multi-model database interactions for graph, document, and key-value queries. Query AQL, manage collections, and inspect graph relationships through AI-assisted database exploration across three data models.

Run SQL queries on Google BigQuery, inspect datasets and tables, and analyze large-scale data warehouses through natural language. Built for data analysts and engineers working with petabyte-scale data.

Query Apache Cassandra and ScyllaDB clusters — run CQL queries, inspect keyspaces and tables, manage indexes, and monitor cluster health. Designed for high-scale, distributed NoSQL workloads with tunable consistency.

Open-source embedding database for AI applications. Create collections, add documents with embeddings, and run semantic similarity searches. Purpose-built for RAG pipelines and LLM memory with automatic embedding management.

Query ClickHouse databases for real-time analytics on large datasets. Designed for teams running OLAP workloads, event analytics, and time-series data at scale with columnar storage and vectorized execution.

Manage CockroachDB clusters — run SQL queries, inspect database schemas, manage user permissions, and monitor distributed database health. Built for resilient, multi-region PostgreSQL-compatible deployments with automatic survivability.

Interact with Couchbase NoSQL databases — query documents, manage buckets, create indexes, and monitor cluster health. Supports N1QL queries through AI-assistant interaction for modern application backends.

Query Databricks SQL warehouses, explore Unity Catalog metadata, and run Spark SQL queries. Bridges the data lakehouse with AI-assisted analytics for data engineers and scientists working with big data infrastructure.

Manage Cloudflare D1 serverless SQL databases — create databases, execute queries, run migrations, and inspect tables. Combines edge computing with SQLite-based persistence for globally distributed data access.

Generate and run Drizzle ORM schema migrations, manage database relationships, and introspect existing databases. Streamlines TypeScript database workflows with AI-guided schema design for modern web applications.

In-process analytical SQL database for data analysis. Query CSV, Parquet, and JSON files directly using SQL without loading them into a separate database. Perfect for data scientists and analysts doing local data exploration.

Query and manage Amazon DynamoDB tables — run Scan and Query operations, manage indexes, configure auto-scaling, and monitor read/write capacity. Built for serverless application teams operating at any scale.

Query Fauna document-relational databases using FQL. Manage collections, indexes, and documents with globally distributed, serverless database access through natural language. Built for edge and serverless architectures.

Manage Firebase services — Firestore, Realtime Database, Authentication, and Storage. Query documents, manage user authentication, and configure security rules through AI. Comprehensive Google Firebase platform management.

Google Firestore NoSQL document database operations — create and query collections, manage documents, set up real-time listeners, and configure composite indexes for scalable applications with offline support.

Query InfluxDB time-series databases — write and read measurements, manage buckets and retention policies, and run Flux queries. Essential for IoT monitoring, metrics collection, and observability pipelines handling high-cardinality data.

Full MariaDB database management — query tables, manage users, configure replication, and monitor performance. Enterprise-grade database administration through AI with MySQL-compatible syntax for production environments.

Real-time graph database querying using Cypher. Analyze connected data, detect patterns, and traverse graph relationships with millisecond latency for streaming and static datasets in fraud detection and recommendation engines.

Query and manage Milvus vector databases for AI applications. Create collections, insert vectors, run similarity searches, and manage indexes — essential for RAG and semantic search pipelines at production scale.

Interact with MongoDB databases through AI — run aggregations, inspect collections, manage indexes, and query documents using natural language instead of writing complex MongoDB queries by hand.