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Project description

SQL Schema MCP 服务器 一个用于查询需求分析对应的SQL table scheme信息的模型上下文协议服务器。该服务器包装了原始的get_schema_info API,让AI应用能够通过MCP协议获取SQL表结构信息。

主要功能

根据用户查询需求,分析需要用到的数据表、字段、枚举值、关联方式和易错点等信息。

可用工具

analyze_sql_schema - 分析SQL表结构和数据需求

必需参数:

  • user (字符串): 用户信息,用于身份识别和权限控制
  • business_id (字符串): 业务ID,标识具体的业务场景
  • query (字符串): 用户的数据需求描述,例如"我需要查询最近一个月的用户活跃度数据"
  • appkey (字符串): API密钥,用于接口认证

可选参数:

  • document_id (字符串): 可选的文档ID,关联特定的文档上下文
  • extra_result_params (列表): 额外的结果参数,用于定制返回结果

使用示例

  • "查询用户最近30天的购买行为数据"
  • "分析不同地区的销售业绩情况"
  • "获取商品库存和销量的关联分析"

安装

使用 PIP

你可以通过 pip 安装 fit-growth-mcp-tools:

pip install fit-growth-mcp-tools

安装完成后,可以使用以下命令作为脚本运行:

python -m fit_growth_mcp_tools

配置

为 Claude.app 配置

在你的 Claude 设置中添加:

{
  "mcpServers": {
    "sql-schema": {
      "command": "python",
      "args": ["-m", "fit_growth_mcp_tools"]
    }
  }
}

为 Zed 配置

在你的 Zed settings.json 中添加:

{
  "assistant": {
    "version": "2",
    "provider": {
      "name": "anthropic",
      "default_model": "claude-3-5-sonnet-20241022",
      "low_speed_timeout_read_timeout": 30,
      "low_speed_timeout": 30
    }
  },
  "context_servers": [
    {
      "id": "sql-schema",
      "type": "mcp",
      "settings": {
        "command": "python",
        "args": ["-m", "fit_growth_mcp_tools"]
      }
    }
  ]
}

API 配置

服务器连接到内部API服务,需要确保:

注意事项

  • 确保提供有效的appkey进行身份认证
  • query描述应该明确具体,便于准确分析
  • 网络连接需要能访问内部API服务
  • 服务会自动处理网络连接失败、API认证失败等错误情况

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