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focus_mcp_data

by FocusSearch
GitHub
Apache 2.0
12
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FOCUS DATA MCP Server [中文]

A Model Context Protocol (MCP) server enables artificial intelligence assistants to directly query data results. Users can obtain data results from DataFocus using natural language.

Features

  • Register on DataFocus to open an application space, and import (directly connect to) the data tables to be analyzed.
  • Select Datafocus data table initialization dialogue
  • Natural language data acquisition results

Prerequisites

  • jdk 23 or higher. Download jdk
  • gradle 8.12 or higher. Download gradle
  • register Datafocus to obtain bearer token:
    1. Register an account in Datafocus
    2. Create an application
    3. Enter the application
    4. Admin -> Interface authentication -> Bearer Token -> New Bearer Token bearer token

Installation

  1. Clone this repository:
git clone https://github.com/FocusSearch/focus_mcp_data.git cd focus_mcp_data
  1. Build the server:
gradle clean gradle bootJar The jar path: build/libs/focus_mcp_data.jar

MCP Configuration

Add the server to your MCP settings file (usually located at ~/AppData/Roaming/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json):

{ "mcpServers": { "focus_mcp_data": { "command": "java", "args": [ "-jar", "path/to/focus_mcp_data/focus_mcp_data.jar" ], "autoApprove": [ "tableList", "gptText2DataInit", "gptText2DataData" ] } } }

Available Tools

1. tableList

Get table list in datafocus.

Parameters:

  • name (optional): table name to filter
  • bearer (required): bearer token

Example:

{ "name": "test", "bearer": "ZTllYzAzZjM2YzA3NDA0ZGE3ZjguNDJhNDjNGU4NzkyYjY1OTY0YzUxYWU5NmU=" }

2. gptText2DataInit

Initialize dialogue.

Parameters:

  • names (required): selected table names
  • bearer (required): bearer token
  • language (optional): language ['english','chinese']

Example:

{ "names": [ "test1", "test2" ], "bearer": "ZTllYzAzZjM2YzA3NDA0ZGE3ZjguNDJhNDjNGU4NzkyYjY1OTY0YzUxYWU5NmU=" }

3. gptText2DataData

Query data results.

Parameters:

  • chatId (required): chat id
  • input (required): Natural language
  • bearer (required): bearer token

Example:

{ "chatId": "03975af5de4b4562938a985403f206d4", "input": "max(age)", "bearer": "ZTllYzAzZjM2YzA3NDA0ZGE3ZjguNDJhNDjNGU4NzkyYjY1OTY0YzUxYWU5NmU=" }

Response Format

All tools return responses in the following format:

{ "errCode": 0, "exception": "", "msgParams": null, "promptMsg": null, "success": true, "data": { } }

Visual Studio Code Cline Sample

  1. vsCode install cline plugin
  2. mcp server config config mcp server
  3. use
    1. get table list get table list1 get table list2
    2. Initialize dialogue Initialize dialogue
    3. query: what is the sum salary query

Contact：

https://discord.gg/mFa3yeq9 Datafocus

This server cannot be installed

-
security - not tested
A
license - permissive license
-
quality - not tested

How are these scores calculated?

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

複数ラウンドの会話をサポートする DataFocus のインテリジェント データ クエリ プラグインは、プラグアンドプレイの ChatBI 機能を提供します。

  1. 特徴
    1. 前提条件
      1. インストール
        1. MCP構成
          1. 利用可能なツール
            1. 1. テーブルリスト
            2. 2. gptText2DataInit
            3. 3. gptText2Dataデータ
          2. 応答フォーマット
            1. Visual Studio Code Cline サンプル
              1. 接触：

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