Unofficial Blinkit MCP

by hereisSwapnil

A Model Context Protocol (MCP) server that lets Claude Desktop browse, search, and order from Blinkit in real time. Requires Python 3.12+ and Playwright browsers which can be installed via 'uv run playwright install chromium'.

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Repository-wide counts · Cached 2026-09-24

Overview

The Unofficial Blinkit MCP MCP server is a publicly available project. Review the upstream repository for installation instructions, supported tools, compatibility, permissions, and current maintenance status.

Configuration

Configuration, transport, authentication, and runtime requirements vary by project. Open the repository before connecting and use the smallest set of credentials and permissions required.

Open the Unofficial Blinkit MCP repository to read the latest documentation.

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FROM THE SOURCE

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Blinkit MCP Logo

Unofficial Blinkit MCP

A Model Context Protocol (MCP) server that lets Claude Desktop browse, search, and order from Blinkit in real time.

MIT License Python 3.12+ Claude MCP


✨ What is Blinkit MCP?

Blinkit MCP is a plug-and-play MCP server that allows Claude Desktop to automate your grocery shopping on Blinkit.

Your AI can:

  • 🔍 Search for products (groceries, electronics, etc.)
  • 🛒 Add items to your cart
  • 📍 Manage delivery locations
  • 💳 Automate checkout and UPI payments
  • 🔐 Login securely with phone and OTP
  • 📜 Review past orders and recurring buying patterns

No manual clicking required. Just ask Claude to buy milk.


🎬 Quick Demo

https://github.com/user-attachments/assets/531f09ad-648a-4ee2-9271-5993ce637093

💡 Ask Claude: "Buy milk from Blinkit"


🚀 Quick Start (30 seconds)

  1. Install uv (if you don't have it):

    macOS / Linux

    curl -LsSf https://astral.sh/uv/install.sh | sh
    

    Windows

    powershell -c "irm https://astral.sh/uv/install.ps1 | iex"
    
  2. (Optional) Pre-install Browsers
    If you want to speed up the first run:

    uvx playwright install chromium
    # OR if you have Node.js:
    # npx playwright install chromium
    
  3. Download the MCP bundle
    👉 blinkit-mcp.mcpb

  4. Double-click the .mcpb file — Claude Desktop installs it automatically.

  5. Open Claude Desktop and start shopping.


🔥 Key Features

Feature Description
🔒 Secure Auth Login via Phone Number & OTP (Session persisted locally)
🔎 Smart Search Find products by name and get pricing/details
🛒 Cart Management Add items, check cart status, and verify availability
📍 Location Detect or manually set delivery location
💳 Payment Automation New! Select saved UPI IDs or enter new ones automatically
🚀 Checkout Flow Handles address selection and ordering flow seamlessly

Download and install directly in Claude Desktop:

Download

Supports: macOS • Windows • Linux


🛠️ Manual Installation

If you prefer to run from source:

  1. Clone and Run:

    git clone https://github.com/hereisSwapnil/blinkit-mcp.git
    cd blinkit-mcp
    
    # Install uv (if needed)
    curl -LsSf https://astral.sh/uv/install.sh | sh
    
    # Install Python dependencies
    uv sync
    
    # Install Playwright browsers
    uv run playwright install chromium
    
    # Run the server
    uv run main.py
    
  2. Configure Claude Desktop:

    Add this to your claude_desktop_config.json:

    {
      "mcpServers": {
        "blinkit-mcp": {
          "command": "/usr/local/bin/uv",
          "args": ["run", "main.py"],
          "cwd": "/absolute/path/to/blinkit-mcp",
          "env": {
              "HEADLESS": "false" 
          }
        }
      }
    }
    

    (Set HEADLESS to false to see the browser action, or true for background mode)

🧰 Available MCP Tools

Tool Description
check_login Check if currently logged in
login Login with phone number
enter_otp Verify login with OTP
set_location Manually search and set delivery location
search Search for products
add_to_cart Add product to cart by index
remove_from_cart Remove item from cart
check_cart View cart contents
checkout Proceed to checkout
get_addresses Get list of saved addresses
select_address Select a delivery address
proceed_to_pay Proceed to payment page
get_upi_ids List available UPI payment options
select_upi_id Select a specific UPI ID for payment
pay_now Click the final Pay Now button
get_order_history Fetch recent orders (date, total, status, and items) in an LLM-friendly format

💬 Example Queries

  • "Buy milk from Blinkit to my home and use my UPI for payment"
  • "Order 2 packets of Maggi and pay via UPI"
  • "Get me some chips, deliver to office, and checkout"

📁 Project Structure

blinkit-mcp/
├── main.py                # MCP server entry point
├── src/
│   ├── auth/              # Authentication module
│   │   └── service.py     # Auth service implementation
│   ├── order/             # Order management module
│   │   ├── blinkit_order.py   # Main order controller
│   │   └── services/          # Domain services
│   │       ├── base.py        # Base service class
│   │       ├── search.py      # Search logic
│   │       ├── location.py    # Location logic
│   │       ├── cart.py        # Cart logic
│   │       ├── checkout.py    # Checkout & Payment logic
│   │       └── history.py     # Order history logic
│   └── server.py          # MCP Tool definitions
├── test/
│   └── cli.py             # CLI for testing independent of Claude
└── README.md

📄 License

Licensed under the MIT License.


Blinkit MCP turns Claude into your personal grocery assistant.


⚠️ Disclaimer

This project is an experimental proof of concept and is not affiliated, associated, authorized, endorsed by, or in any way officially connected with Blinkit (Grofers India Private Limited), or any of its subsidiaries or its affiliates. The official Blinkit website can be found at blinkit.com.

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