What are the prerequisites to run this server?
Java 17 or higher, Maven 3.6+, and Claude Desktop are required. No additional databases or external services are needed.
@ravikalla
基本信息
Enables small businesses to create AI-powered WhatsApp chatbots using their own knowledge base. Business owners can set up their AI assistant through natural conversation and upload documents, while customers can ask questions directly without special syntax. Each WhatsApp number
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"small-business-customer-care": {
"command": "java",
"args": [
"-jar",
"/path/to/small-business-customer-care-1.0.0.jar"
],
"env": {}
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
A Spring AI‑powered MCP Server that enables natural language management of small business data through Claude Desktop. It provides six complete CRUD operations, pre‑loaded sample data, and a rich business model built with the Spring AI framework. It is designed for small business owners, developers learning MCP, and AI enthusiasts experimenting with natural language business operations.
Install by cloning the repository, building with mvn clean package (requires Java 17+, Maven 3.6+), then configuring Claude Desktop’s MCP JSON with the java -jar command pointing to the generated JAR. Restart Claude Desktop to use natural language commands such as “Show me all businesses” or “Create a new restaurant.”
Java 17 or higher, Maven 3.6+, and Claude Desktop are required. No additional databases or external services are needed.
Add the configuration block shown in the README to your Claude Desktop MCP settings, replacing `/path/to/` with the actual file system path to the built JAR.
The server ships with pre‑loaded sample businesses so you can immediately test commands like listing all businesses or searching by criteria.
The README does not specify persistent storage; data is likely held in memory for demonstration and learning purposes.
The server uses the standard MCP stdio transport via the `java -jar` command. No authentication mechanisms are mentioned in the README.

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