Project Tango
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Project Tangoshow me products with low stock"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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 |
| Browse/search the catalog, filterable by category and price range |
| Scans inventory and flags |
| Gross revenue, AOV, top sellers, order-status breakdown |
| Recommends exact reorder quantities from demand velocity |
| Generates marketing copy + SEO tags for a given SKU |
| Places a simulated order, validates stock, decrements inventory |
Related MCP server: E-commerce MCP Server
Prerequisites
Node.js 18 or later (
node -vto 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 startnpm 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 handConnecting 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
tsxinstead:{ "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:
Create
src/shopifyDataProvider.ts(or similar) implementingDataProvider: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) { /* ... */ } }In
src/index.ts, change one line:const dataProvider: DataProvider = new ShopifyDataProvider(/* credentials */);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_placementvalidates 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
DataProvideragainst Shopify/Stripe, credentials should be loaded from environment variables (e.g. viaprocess.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.mdLicense
MIT
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