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Let AI query ODBC databases with SQL, SPARQL, and schema exploration.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "OpenLink MCP Server for ODBC" yet — see the docs or source repo.
Connect to my configured ODBC DSN, query sales by region for the last 30 days, return the top 10 regions by revenue in descending order, and include the SQL used.
A region-level sales summary with the reusable SQL query that produced it.
Inspect the schema of this ODBC data source, list the main tables, columns, and key relationships, and explain which tables are most suitable for customer retention analysis.
A structured schema overview plus guidance on the tables and relationships best suited for retention analysis.
Run a SPARQL query against the ODBC-connected data source to find entities, labels, and related resources about 'climate change', limited to 20 results.
A list of matching entities along with the SPARQL query used to retrieve them.
Connect to ODBC data sources for schema discovery, querying, and controlled writes.
Let AI query multiple SQL databases read-only and export results.
Let AI safely query and manage DuckDB databases through MCP tools.
Safely query SQL and NoSQL databases through AI with zero setup.
Access Oracle databases for schema exploration, query execution, and performance analysis.
Connect to MySQL with natural language for schema exploration and SQL queries.