Browse all content tagged with Database
The Fireproof MCP Server bridges AI assistants and the Fireproof database, enabling seamless storage, retrieval, and management of JSON documents via LLM tool use. It simplifies CRUD operations, supports flexible querying, and accelerates prototyping for data-driven AI workflows.
The ArangoDB MCP Server enables seamless interaction between AI agents and the ArangoDB database, supporting core database operations like querying, insertion, updates, collection management, and backup directly through standardized MCP tools.
The Astra DB MCP Server bridges Large Language Models (LLMs) and Astra DB, enabling secure, automated data querying and management. It empowers AI-driven workflows to interact directly with Astra DB, unlocking productivity and seamless database automation.
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 JDBC MCP Server bridges AI assistants and SQL databases using the JDBC protocol, enabling real-time queries, analytics automation, and streamlined database management within FlowHunt and other AI-driven environments.
The KurrentDB MCP Server enables AI assistants and developers to seamlessly interact with KurrentDB, a stream-based database, by exposing powerful tools for querying, writing, and projecting event data directly from your development environment.
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 MCP Database Server enables secure, programmatic access to popular databases like SQLite, SQL Server, PostgreSQL, and MySQL for AI assistants and automation tools. It acts as a bridge, empowering context-aware workflows and AI-powered applications to query, manage, and interact with structured data efficiently.
The MongoDB Mongoose MCP Server enables FlowHunt and other AI assistants to interact directly with MongoDB databases, supporting robust data validation, operational hooks, and both schema-based and schemaless workflows. It provides powerful database tools for querying, aggregation, insertion, updating, and index management—empowering natural language, AI-driven database automation.
The ClickHouse MCP Server enables AI assistants and language models to securely interact with ClickHouse databases via standardized tools. Execute SQL queries, list databases, and enumerate tables directly from your ClickHouse cluster for automated data exploration and analytics.
The GreptimeDB MCP Server bridges AI assistants with GreptimeDB, enabling secure, structured, and programmatic access to time-series database functionalities such as table discovery, data querying, and automated reporting—empowering AI-driven workflows in analytics and data management.
The MSSQL MCP Server connects AI assistants with Microsoft SQL Server databases, enabling advanced data operations, business intelligence, and workflow automation directly from your AI flows. Execute queries, manage schemas, and generate business insights seamlessly.
The MSSQL MCP Server enables secure, auditable, and structured interaction between FlowHunt and Microsoft SQL Server databases. It supports table listing, data exploration, custom query execution, and full logging for compliance and development automation.
The Nocodb MCP Server bridges AI assistants and Nocodb databases, providing seamless CRUD operations, schema management, and file-based table creation via the Model Context Protocol (MCP). Enhance your AI workflows with automated, standardized access to all your Nocodb data.
The Quarkus MCP Server enables FlowHunt users to connect LLM-powered agents to external databases and services via Java-based MCP servers, streamlining automation, integration, and real-world data access for AI workflows.
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 Chroma MCP Server empowers FlowHunt users with advanced vector database capabilities including semantic search, metadata filtering, and robust collection management for AI-driven applications. Easily integrate Chroma with your flows to enable efficient document retrieval, analytics, and knowledge management.
The Couchbase MCP Server connects AI agents and LLMs directly to Couchbase clusters, enabling seamless natural language database operations, automated management, and interactive querying within developer workflows.
The GibsonAI MCP Server connects AI assistants to your GibsonAI projects and databases, enabling natural language management of schemas, queries, deployments, and more—directly from popular development tools.
The MySQL MCP Server provides a secure bridge between AI assistants and MySQL databases. It enables structured database exploration, querying, and data analysis through a robust Model Context Protocol (MCP) interface, supporting safe integration into AI workflows.
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.
Integrate the StarRocks MCP Server with FlowHunt to enable AI agents to query, manage, and visualize StarRocks databases securely and efficiently—no complex client setup required.
The Teradata MCP Server integrates AI assistants with Teradata databases, enabling advanced analytics, seamless SQL query execution, and real-time business intelligence workflows directly within FlowHunt.
The YDB MCP Server connects AI assistants and LLMs with YDB databases, enabling natural language access, querying, and management of YDB instances. It empowers AI-driven workflows and streamlines database operations without manual SQL.
The AnalyticDB PostgreSQL MCP Server bridges AI assistants and AnalyticDB PostgreSQL databases, enabling seamless schema exploration, SQL query execution, metadata retrieval, and performance tuning for robust, enterprise-grade analytics workflows.
DevDb MCP Server bridges AI assistants with database development in Visual Studio Code, exposing database operations through the Model Context Protocol (MCP). It enables developers and AI agents to query, manage, and debug databases seamlessly within their editor, boosting productivity and streamlining workflows.
The Fibery MCP Server bridges your Fibery workspace with AI assistants using the Model Context Protocol, enabling natural language access to databases, metadata, and entity management for streamlined workflows and automation.
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.
The py-mcp-mssql MCP Server provides a secure and efficient bridge for AI agents to interact programmatically with Microsoft SQL Server databases via the Model Context Protocol (MCP). It enables table discovery, data querying, and SQL execution for tasks like analytics, reporting, and workflow automation.
The Redis MCP Server bridges AI assistants and Redis-compatible in-memory databases, offering seamless key-value storage, real-time messaging, and advanced automation for AI-driven workflows.
The Snowflake MCP Server enables seamless AI-powered interaction with Snowflake databases by exposing sophisticated tools and resources via the Model Context Protocol (MCP). Easily execute SQL queries, manage schemas, automate insights, and streamline data workflows—all through standardized MCP interfaces.
The VictoriaMetrics MCP Server bridges AI assistants with the VictoriaMetrics time series database, enabling seamless querying, management, and integration of time series metrics into AI-driven workflows and applications.
The YugabyteDB MCP Server bridges AI assistants and YugabyteDB databases, enabling secure, read-only data exploration and schema analysis through standardized Model Context Protocol (MCP) interfaces. Ideal for developers seeking simple, safe, and powerful AI-driven database access.
