Translate a natural-language question into an SQL statement using an LLM. Review the generated SQL before executing it with run_sql.
MIT
164,045 tools. Last updated 2026-05-31 01:10
"A server for converting NLP to SQL for business analytics with ClickHouse" matching MCP tools:
- Retrieve all business glossary terms for a database connection, including plain-language definitions, SQL expressions, and related tables.MIT
- Define a business glossary term that maps plain-language phrases to SQL expressions. Teach the semantic layer common business terms for consistent query generation.MIT
- Discover all ClickHouse databases available on the server. This tool provides a quick inventory for schema inspection and query planning.Apache 2.0
- Execute SQL queries on ClickHouse. Queries run read-only by default; enable write and delete operations using environment variables.Apache 2.0
- Discover available data sources to identify which ones you can query for analytics and business intelligence. Returns unique source IDs with type information for proper SQL syntax usage.MIT
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mcp-clickhouseofficial
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- Create a new business entity for a customer in Paddle to manage business information when working with companies rather than individuals.Apache 2.0
- Discover available SQL Server instances before querying. Use this tool to list server names for subsequent data retrieval.MIT
- Execute SQL queries with parameterized statements to prevent injection. Supports transactions, multiple statements, and schema hints for database management.MIT
- Execute a read-only SQL SELECT query on a specified SQL Server and database. Retrieve data safely without modification.MIT
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- Analyze JSON payloads to generate optimal ClickHouse schemas with compression codecs for efficient data storage and querying.MIT
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