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Focus_mcp_data

The intelligent data query plugin under DataFocus that supports multi-round conversations provides plug-and-play ChatBI capabilities.

#data-query#chatbi
Created by FocusSearch2025/03/27
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What is Focus_mcp_data?

what is Focus_mcp_data? Focus_mcp_data is an intelligent data query plugin under DataFocus that enables users to perform multi-round conversations and provides plug-and-play ChatBI capabilities for data querying. how to use Focus_mcp_data? To use Focus_mcp_data, register on DataFocus to create an application space, import the data tables you want to analyze, and then use natural language to query data results. key features of Focus_mcp_data? Direct querying of data results using natural language. Multi-round conversation support for interactive data querying. Easy integration with DataFocus data tables. use cases of Focus_mcp_data? Querying data insights from large datasets using simple language. Engaging in multi-turn conversations to refine data queries. Integrating with AI assistants for enhanced data interaction. FAQ from Focus_mcp_data? What is required to use Focus_mcp_data? You need to register on DataFocus, have JDK 23 or higher, and Gradle 8.12 or higher installed. Can I use Focus_mcp_data for any type of data? Yes, as long as the data is imported into your DataFocus application space. Is there a limit to the number of queries I can make? No, you can make as many queries as needed within your session.

As an MCP (Model Context Protocol) server, Focus_mcp_data enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

How to use Focus_mcp_data

To use Focus_mcp_data, register on DataFocus to create an application space, import the data tables you want to analyze, and then use natural language to query data results. key features of Focus_mcp_data? Direct querying of data results using natural language. Multi-round conversation support for interactive data querying. Easy integration with DataFocus data tables. use cases of Focus_mcp_data? Querying data insights from large datasets using simple language. Engaging in multi-turn conversations to refine data queries. Integrating with AI assistants for enhanced data interaction. FAQ from Focus_mcp_data? What is required to use Focus_mcp_data? You need to register on DataFocus, have JDK 23 or higher, and Gradle 8.12 or higher installed. Can I use Focus_mcp_data for any type of data? Yes, as long as the data is imported into your DataFocus application space. Is there a limit to the number of queries I can make? No, you can make as many queries as needed within your session.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.

Use Cases for this MCP Server

  • No use cases specified.

MCP servers like Focus_mcp_data can be used with various AI models including Claude and other language models to extend their capabilities through the Model Context Protocol.

About Model Context Protocol (MCP)

The Model Context Protocol (MCP) is a standardized way for AI agents to communicate with various services and tools. MCP servers like Focus_mcp_data provide specific capabilities that can be accessed through a consistent interface, making it easier to build powerful AI applications with complex workflows.

Browse the MCP Directory to discover more servers and clients that can enhance your AI agents' capabilities.