Browse all content tagged with SQL
The Nile MCP Server bridges AI assistants with the Nile database platform, enabling seamless automation of database operations, credential management, SQL execution, and region handling via LLM-powered workflows in FlowHunt.
The Hologres MCP Server bridges AI agents and Hologres databases, enabling secure, standardized database operations, metadata inspection, and scalable data analysis within FlowHunt workflows.
The KWDB MCP Server connects AI assistants with the KWDB database, enabling business intelligence, data manipulation, and seamless integration with FlowHunt workflows. It offers secure, standardized access to database queries, metadata, and schema exploration through Model Context Protocol.
The Databricks MCP Server connects AI assistants to Databricks environments, enabling autonomous exploration, understanding, and interaction with Unity Catalog metadata and data assets. It empowers agents to discover data, build SQL queries, and automate complex analytical workflows without manual intervention.
The AnalyticDB PostgreSQL MCP Server bridges AI assistants with AnalyticDB PostgreSQL databases, enabling seamless execution of SQL operations, schema exploration, and performance analysis via the Model Context Protocol. It empowers AI workflows with secure, automated, and comprehensive access to database functionalities.
The Bitable MCP Server connects FlowHunt and other AI platforms with Lark Bitable, enabling seamless database automation, schema exploration, and SQL-like querying through the Model Context Protocol. Enhance your AI workflows with direct, structured access to collaborative spreadsheets and databases.
The Databricks MCP Server enables seamless integration between AI assistants and the Databricks platform, allowing natural language access to Databricks resources, automated SQL queries, and job management through FlowHunt.
The OceanBase MCP Server bridges secure AI interactions with OceanBase databases, enabling tasks like listing tables, reading data, and executing SQL queries in a controlled environment. It enhances safe database access, analysis, and reporting for AI workflows with robust logging and granular access control.
The Vertica MCP Server enables seamless integration between AI assistants and OpenText Vertica databases, supporting secure SQL operations, bulk data loading, schema inspection, and real-time analytics for enterprise data workflows.
The aws-athena MCP Server connects AI workflows to AWS Athena, enabling AI agents to execute SQL queries directly on data stored in Amazon S3. It streamlines data access, analytics, and code generation for enterprise and automation use cases.
The Databricks Genie MCP Server enables large language models to interact with Databricks environments through the Genie API, supporting conversational data exploration, automated SQL generation, and workspace metadata retrieval via standardized Model Context Protocol (MCP) tools.
The JDBC MCP Server enables seamless integration between AI assistants and relational databases using the JDBC standard. It allows AI agents to execute database queries, manage records, and interact securely with a variety of SQL databases directly from FlowHunt or other AI-driven workflows.
The Keboola MCP Server bridges your Keboola project with modern AI tools, allowing AI assistants and clients to access storage, run SQL transformations, manage components, and orchestrate jobs directly from their environment. This integration significantly streamlines development workflows and unlocks advanced automation scenarios.
The MotherDuck MCP Server bridges AI assistants and IDEs with DuckDB and MotherDuck databases, enabling powerful SQL analytics through a unified interface. It supports hybrid execution, serverless data exploration, and seamless integration with local and cloud data sources.
