Enables AI assistants to connect to and interact with PostgreSQL, MySQL, SQLite, and MongoDB databases through natural language, supporting schema exploration, query execution, data export, and more.
Provides AI assistants with a comprehensive computer-vision dataset toolkit for analyzing, curating, augmenting, and exporting datasets, including label error detection and automatic publishing.
Enables AI assistants to interact with Databricks workspaces through natural language, supporting SQL queries, cluster management, jobs, Genie AI, Unity Catalog, and more.
Enables natural language interaction with complex computer vision workflows such as auto-labeling, class mapping, and embedding selection through an LLM-agnostic MCP orchestration layer.
Provides New Relic observability tools for AI assistants, enabling discovery, data access, alerting, incident response, and performance analytics via natural language queries.
Enables AI assistants to interact with Salesforce organizations, allowing them to execute Apex code, query data, describe objects, and manage org connections through natural language.