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Use natural language to query, explore, and orchestrate Oracle Autonomous Database.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Oracle ADB AI Agent MCP Server" yet — see the docs or source repo.
Convert this request into SQL for Oracle Autonomous Database: calculate total order amount and order count for each region in the last 30 days, sorted by total amount descending.
Executable Oracle SQL with a brief explanation of the filtering, grouping, and sorting logic.
Inspect this Oracle ADB instance for schema related to customers, orders, and payments. List key tables, fields, primary/foreign key relationships, and suggest joins for sales analysis.
A list of relevant tables and fields, relationship notes, and recommended join paths for analysis.
Create a workflow that first queries today’s newly added high-value customers from Oracle Autonomous Database, then calls an external CRM API to sync customer tags, and returns an execution summary with retry suggestions for failures.
A workflow with query and API orchestration steps, required parameters, and a summary format for execution results.
Access Oracle databases for schema exploration, query execution, and performance analysis.
Connect to Oracle Autonomous Database via OAuth for SQL and schema management.
Provides Oracle schema context so AI can understand and work with massive databases.
Safely query SQL and NoSQL databases through AI with zero setup.
Securely query and analyze multiple databases with natural language across systems.
Safely let AI inspect database schemas and query PostgreSQL and MySQL data.