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650,553 tools. Updated 2026-10-14 09:25

"A server for converting NLP to SQL for business analytics with ClickHouse" matching MCP tools:

  • List available ClickHouse databases to identify existing database names for querying and schema inspection.
    Apache 2.0
  • Create a new business entity for a customer in Paddle to manage business information when working with companies rather than individuals.
    Apache 2.0
  • Execute SQL queries over stored market data DataFrames to filter, aggregate, join, and analyze. Supports SHOW TABLES, DESCRIBE, DROP TABLE, and apply for server-side Greeks and technicals.
    MIT
  • Run SQL queries directly on the OceanBase server to retrieve or manage data efficiently using the specified SQL command.
    Apache 2.0

Matching MCP Servers

  • A
    license
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    Enables AI assistants to query and manage ClickHouse databases, supporting SELECT queries, DDL/DML statements, and metadata listing.
    5
    8 npm
    MIT

Matching MCP Connectors

  • Sentiment, toxicity, entity extraction, PII, translation, summary, QA, fraud scoring, safety audit.

  • Give your AI agent a phone. Place outbound calls to US businesses to ask, book, or confirm.

  • Execute SQL queries on log and alert data to analyze and retrieve security events. Target specific server indices for flexible data exploration.
    MIT
  • Execute arbitrary SQL or multi-statement batches against a Microsoft Fabric warehouse or SQL Analytics endpoint, with control over max rows and clear truncation reporting.
    MIT
  • Rename a SQL view in Microsoft Fabric Data Warehouses or SQL Analytics Endpoints. Provide workspace, item, current qualified view name, and new bare name to execute sp_rename.
    MIT
  • Remove a SQL schema from a Microsoft Fabric warehouse or SQL Analytics endpoint. Use cascade to permanently delete tables and views within the schema.
    MIT
  • Return health metrics for a table on a SQL Analytics Endpoint to uncover Delta/Parquet layout issues such as small files, fragmentation, excessive deletes/updates, and delayed checkpoints.
    MIT
  • Assembles SQL-ready context for a natural language question by retrieving relevant tables, columns, foreign keys, business glossary, and example queries.
    MIT
  • Execute read-only SELECT queries on ClickHouse, returning results as CSV. Optionally use snapshot mode for large datasets.
    MIT
  • Run read-only SQL SELECTs against the shop database to explore and join data for questions analytics tools don't cover. Use limit and offset to paginate results.
    MIT
  • Retrieve a list of available Parquet files for SQL queries on Cryo MCP Server. Each entry includes file paths, dataset types, and metadata to use in SQL queries with query_sql().
    MIT
  • Translate a natural-language question into an SQL statement using an LLM. Review the generated SQL before executing it with run_sql.
    MIT
  • Run read-only SQL queries against your analytics events to extract insights. Filter by site or query across all accessible sites, with server-enforced safety limits.
    MIT
  • Retrieve column metadata for a SQL view through sys.columns, supporting both Fabric Data Warehouses and SQL Analytics Endpoints. Supply workspace, item, and qualified view name to obtain schema details.
    MIT
  • Move a T-SQL user-defined function to a different schema using ALTER SCHEMA TRANSFER. Supports Data Warehouses and SQL Analytics endpoints, without altering the function's stored definition.
    MIT
  • Retrieve all business glossary terms for a database connection, including plain-language definitions, SQL expressions, and related tables.
    MIT