Information about SQL (Structured Query Language) – MCP tools

natural_language_to_sql
DataPilot MCP Server
Convert natural language questions about data into SQL queries using AI, enabling database interaction without SQL expertise.
MIT
get_scheduled_query
Panther MCP Server
Retrieve detailed information about a specific scheduled query by ID, including SQL code, schedule configuration, and metadata for security monitoring analysis.
Python
Apache 2.0
get_scheduled_query
Panther MCP Server
Retrieve detailed information about a specific scheduled query by ID, including SQL, schedule configuration, and metadata, using the Panther MCP Server. Supports security monitoring and data lake query management.
Python
Apache 2.0
natural_language_to_sql
DataPilot MCP Server
Transform natural language questions into SQL queries with AI, enabling users to interact with Snowflake databases efficiently. Simplify data querying by converting user input into structured database commands.
MIT
superset_saved_query_get_by_id
Superset MCP Integration
Retrieve details of a saved SQL query from Apache Superset by its unique ID to access SQL text and database information.
MIT
superset_saved_query_get_by_id
Superset MCP Integration
Retrieve details of a specific saved SQL query by its ID, including the SQL text and database information, from Apache Superset.
MIT

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Google Big Query
The BigQuery remote MCP server is a fully managed service that uses the Model Context Protocol to connect AI applications and LLMs to BigQuery data sources. It provides secure, standardized tools for AI agents to list datasets and tables, retrieve schemas, generate and execute SQL queries through natural language, and analyze data—enabling direct access to enterprise analytics data without requiring manual SQL coding.
Kaito Query Service
AI LLM with Gemini, MiniMax, Replicate, OpenRouter. Vision, search, code review. USDC on Base.