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Connect AI to Exasol for metadata access and data query execution.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Exasol MCP Server" yet — see the docs or source repo.
After connecting to Exasol, list the schemas, tables, and columns in the current database, grouped by schema.
A structured metadata inventory of schemas, tables, and columns for understanding the database structure.
Query Exasol for the last 30 days of order data, aggregate order count and revenue by date, and return the result table.
A query result ready for analysis, including daily order counts and revenue totals.
First identify Exasol tables related to customer retention, then read sample values from key fields to help assess usable data sources.
Recommended tables, key field explanations, and sample data to support further analysis and modeling.
Access Exasol metadata and data queries through MCP, with optional governed text-to-SQL.
Manage MySQL databases with natural language for queries, CRUD, and monitoring.
Let AI query, inspect, and analyze schemas across relational databases.
Let AI query multiple SQL databases read-only and export results.
Securely query and analyze multiple databases with natural language across systems.
Use natural language to query, update, and manage MSSQL databases.