Project Tango

Project Tango

A local-first Model Context Protocol server that provides LLM agents with structured access to e-commerce data (products, inventory, orders, sales analytics) using a realistic mock dataset, zero configuration, and a swappable DataProvider interface for live APIs.

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README

Project Tango

A local-first Model Context Protocol server that gives LLM agents — Claude Desktop, Cursor, VS Code, or any MCP-compatible client — instant, structured access to e-commerce data: products, inventory, orders, and sales analytics.

Project Tango ships with a realistic mock dataset so it works in under a minute with zero configuration, and it's built around a clean DataProvider interface so you can swap the mock engine for live Shopify/Stripe APIs without touching a single tool definition.

  • Runs entirely on your machine over stdio — no server to deploy, no database to host.
  • $0 infrastructure cost.
  • Production-ready TypeScript, strict mode, fully typed domain model.

What's inside

Tool What it does
list_all_products Browse/search the catalog, filterable by category and price range
get_low_stock_alerts Scans inventory and flags low / critical stock levels
analyze_sales_metrics Gross revenue, AOV, top sellers, order-status breakdown
smart_restock_predictor Recommends exact reorder quantities from demand velocity
draft_product_copy Generates marketing copy + SEO tags for a given SKU
simulate_order_placement Places a simulated order, validates stock, decrements inventory

Prerequisites

  • Node.js 18 or later (node -v to check)
  • npm (ships with Node)

Quickstart

# 1. Clone the repository
git clone https://github.com/your-org/project-tango.git
cd project-tango

# 2. Install dependencies
npm install

# 3. Run it locally
npm start

npm start runs tsx src/index.ts directly — no build step needed for local development. The server communicates over stdio, so running it directly in a terminal will just sit there waiting for a JSON-RPC client (that's expected — it's designed to be launched by an MCP client, not used interactively).

To produce a compiled build (used by the client configs below):

npm run build     # emits dist/index.js
npm run inspect    # optional: open the MCP Inspector to poke at tools by hand

Connecting Project Tango to an MCP client

Both configs below assume you've run npm run build and are pointing at the absolute path of your local clone.

A) Claude Desktop

Edit your claude_desktop_config.json (Claude menu → Settings → Developer → Edit Config) and add an entry under mcpServers:

{
  "mcpServers": {
    "project-tango": {
      "command": "node",
      "args": ["/absolute/path/to/project-tango/dist/index.js"]
    }
  }
}

Restart Claude Desktop. Project Tango's tools will appear in the tool picker (hammer icon) in your next conversation.

Prefer not to build first? You can point Claude Desktop at tsx instead:

{
  "mcpServers": {
    "project-tango": {
      "command": "npx",
      "args": ["tsx", "/absolute/path/to/project-tango/src/index.ts"]
    }
  }
}

B) Cursor

In Cursor: Settings → MCP → Add new MCP Server, or edit .cursor/mcp.json in your project (or ~/.cursor/mcp.json globally):

{
  "mcpServers": {
    "project-tango": {
      "command": "node",
      "args": ["/absolute/path/to/project-tango/dist/index.js"]
    }
  }
}

Cursor will list project-tango under Settings → MCP with a green dot once it connects successfully, and its tools become available to the agent in Composer/Chat.


Going live: swapping mock data for Shopify/Stripe

Every tool in src/index.ts is written against the DataProvider interface defined in src/types.ts — it never touches the mock arrays directly. To connect real data:

  1. Create src/shopifyDataProvider.ts (or similar) implementing DataProvider:
    export class ShopifyDataProvider implements DataProvider {
      async getProducts() { /* call Shopify Admin API */ }
      async getOrders() { /* call Shopify Admin API */ }
      async getProductById(id: string) { /* ... */ }
      async getProductBySku(sku: string) { /* ... */ }
      async updateProductInventory(id: string, newCount: number) { /* ... */ }
      async addOrder(order: Order) { /* ... */ }
    }
    
  2. In src/index.ts, change one line:
    const dataProvider: DataProvider = new ShopifyDataProvider(/* credentials */);
    
  3. Rebuild (npm run build) — no tool logic changes required.

Security

  • Local-first by design. Project Tango runs as a child process on your own machine and speaks to its MCP client exclusively over stdio. There is no network listener, no exposed port, and no cloud component in the default configuration.
  • Zero external data exposure. With the default mock DataProvider, no data ever leaves your machine — there are no outbound network calls anywhere in the tool logic.
  • Explicit, validated inputs. Every tool parameter is validated at runtime with Zod schemas before any logic executes, rejecting malformed or out-of-range input before it reaches your data layer.
  • No silent partial writes. simulate_order_placement validates stock for every line item before mutating any inventory — a failing item rejects the whole order rather than leaving data half-updated.
  • Bring your own credentials for live mode. When you implement a real DataProvider against Shopify/Stripe, credentials should be loaded from environment variables (e.g. via process.env) and never hard-coded — this template intentionally ships with no secrets or network calls of any kind.

Project structure

project-tango/
├── package.json
├── tsconfig.json
├── src/
│   ├── types.ts       # Domain types + DataProvider interface
│   ├── mockData.ts     # Zero-config in-memory dataset + MockDataProvider
│   └── index.ts        # McpServer setup and the 6 tools
└── README.md

License

MIT

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