Brewteco

Provides access to Brewteco data sources and actions via MCP tools for Claude Desktop.

typescript

0

GitHub Stars

typescript

Language

6 months ago

First Indexed

3 months ago

Catalog Refreshed

Documentation & install

Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.

Installation

Add the following to your MCP client configuration file.

Configuration

View docs

{
  "mcpServers": {
    "apiccelli-brew_mcp": {
      "command": "node",
      "args": [
        "/absolute/path/to/brewteco-mcp-server/dist/index.js"
      ],
      "env": {
        "BREWTECO_API_URL": "http://localhost:3700/api/v1"
      }
    }
  }
}

You can connect Brewteco data APIs to Claude Desktop using the MCP (Model Context Protocol). This server exposes five core Brewteco APIs as tools, enabling natural language queries to retrieve sales, products, team performance, customer segments, and individual profiles, and to drive automated actions from Claude.

How to use

You interact with the Brewteco MCP Server through an MCP client like Claude Desktop. After you configure the MCP connection, you can ask Claude to fetch data, compare metrics, filter customers, or view detailed profiles. Claude will call the corresponding tools in the background, pass the required parameters, and present consolidated results back to you.

Typical usage patterns include obtaining a sales summary for a specific store and period, ranking products by performance, evaluating seller performance, filtering customers by behavior, and retrieving a complete customer profile. You can combine multiple tools in a single request to build dashboards, run analyses, or drive targeted marketing actions.

How to install

Prerequisites: Node.js >= 18.0.0 and the Brewteco API running on port 3700.

Install dependencies for the MCP server.

npm install

Build the MCP server to compile TypeScript into JavaScript and generate the dist directory. The executable will be dist/index.js.

npm run build

Start the MCP server after building.

npm start

Optionally, create a .env file to point the MCP server at Brewteco API endpoints.

BREWTECO_API_URL=http://localhost:3700/api/v1

Configuration

Configure Claude Desktop to load Brewteco MCP as a local stdio server. You must provide the absolute path to the compiled entry point and the API URL.

{
  "mcpServers": {
    "brewteco": {
      "command": "node",
      "args": ["/absolute/path/to/brewteco-mcp-server/dist/index.js"],
      "env": {
        "BREWTECO_API_URL": "http://localhost:3700/api/v1"
      }
    }
  }
}

Security

The MCP server is stateless and does not persist client data. All requests are validated, timeouts are enforced, and transient retries are applied for reliability.

Examples

These examples show practical tool usage with Claude after the MCP server is configured.

Dashboard example: Claude summarizes December performance for a store by calling multiple tools and compiling a manager-friendly report.

Development

Project structure includes source files for the MCP server, compilation targets in dist, and scripts for development, building, starting, and testing with MCP Inspector.

Available tools

obter_vendas

Fetches general sales data for a store within a specified period, with optional store filtering.

comparar_vendas_lojas

Compares sales across all stores for a given date range.

obter_produtos

Provides a ranking of products by sales volume with optional filters such as period, category, store, and limit.

obter_categorias

Lists all product categories.

obter_performance_equipe

Generates a sales performance ranking for the team with mix analysis, filtered by period and optional store.

obter_detalhe_funcionario

Delivers detailed sales data by category for a single employee over a date range.

filtrar_clientes

Filters and searches customers by behavior, spending, visit history, and store filters.

obter_perfil_cliente

Provides the complete profile for a specific customer, identified by ID, CPF, or contact information.