数据检索服务

Claude Watsonx Studio快速入门

1. 这是基于watsonx数据MCP检索服务器项目(https://github.com/IBM/ibm-watsonxdata-mcp-server)

2. 先决条件

   复制

    ├── Copy .env.sample to .env and populate the config values.    
    ├── Watsonx.data service (lite is enough, in a region of your choice)            
    ├── A vaild data API key for a watsonx.data user.
         ├──Should have access to the cluster resources, catalog etc.
         └── Should have access to the presto and spark engines
    ├── Watsonx-ai project if you want to use ibm granite models.
    ├── Watson-ai project key.
    └── Some credit in your anthropic account if you want to use anthropic claude models.
   
   

3. 编辑 .env 文件并添加您的API密钥：

   复制

   ANTHROPIC_API_KEY=<your-antropic-key> # if you want to use claude models
   
   # Base URL for watsonx.data service, this would be different for each region.
   # needed to configure MCP tool
   WATSONX_DATA_BASE_URL=https://us-south.lakehouse.cloud.ibm.com/lakehouse/api/
   WATSONX_DATA_API_KEY=#This is needed to connect to watsonx.data services
   WATSONX_DATA_INSTANCE_ID=<The CRN of your watsonx.data service>
   #Watsonx-ai settings need if you want to use the ibm granite models.
   WATSONX_API_KEY=<key to access your watsonx-ai project>
   WATSONX_PROJECT_ID=<Project of your watsonx-ai project, needed to use ibm granite models>
   #URL for watsonx ai and ml service, region specific.
   WATSONX_URL=https://us-south.ml.cloud.ibm.com
   
   #change these if you want a different login than default.
   WEBUI_ADMIN_EMAIL=admin@ibm.com #default, change if you want a different user.
   WEBUI_ADMIN_PASSWORD=pass123 #default, change if you want a different user.
   WEBUI_ADMIN_NAME=Admin #default, change if you want a different user.
   

4. 运行： docker组成-up-d

5. 打开http://localhost:3000

6. 开始新的聊天，确保根据您的配置选择您选择的型号。

7. 确保选择了MCP工具，以便模型可以利用它。

8. 开始和克劳德聊起你的watsonx.data吧！ 🎉