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
Basic information
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
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"small-business-customer-care": {
"command": "java",
"args": [
"-jar",
"/path/to/small-business-customer-care-1.0.0.jar"
],
"env": {}
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
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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