$ loading_
Connect to Kinetica for querying, SQL-GPT analysis, and real-time monitoring.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Kinetica MCP Server" yet — see the docs or source repo.
Using the Kinetica MCP Server, list the tables in the available database and show the columns, types, and primary key information for the sales_orders table.
A list of database tables and a structured schema description for sales_orders.
Use Kinetica's SQL-GPT context to generate SQL that calculates total sales by region for the past 30 days, sorted from highest to lowest, and explain the query logic.
An executable SQL query plus a concise explanation of the query logic.
Through the Kinetica MCP Server, review the current cluster's real-time monitoring data, summarize CPU, memory, active queries, and alerts, and identify the highest-priority issues.
A summary of key runtime metrics, a list of alerts, and prioritized issues to address.
Connect AI securely to KingBase databases for querying schemas and managing data.
Connect to SQL Server to query data, inspect schema, and analyze performance.
Interact with MySQL databases using natural language for queries and management.
Query, monitor, and analyze SQL Server and Azure SQL databases directly.
Connect to major databases via MCP to run SQL queries and commands.
Manage MySQL databases with natural language for queries, CRUD, and monitoring.