tuma250-mcp
Enables AI clients to search products, manage shopping carts, and browse order history on the Tuma 250 grocery site in Kigali, Rwanda.
README
tuma250-mcp
An MCP server for the Tuma 250 grocery site (Kigali, Rwanda).
Gives any MCP-compatible AI client (Cursor, Claude Desktop, etc.) the ability to search products, manage a shopping cart, and browse order history on Tuma250 — using a headless Playwright browser under the hood.
Example uses
Imported as MCP server in Perplexity (or any other MCP-compatible client)

Imported as a skill in OpenClaw
The skill definition can be copied from skills/tuma250/SKILL.md (requires the mcporter skill to be enabled, and the MCP server added to its configuration)

Tools
| Tool | Description |
|---|---|
login |
Authenticate and persist the browser session |
search_products |
Search for products by keyword |
get_product_variations |
List available variants (size/weight) for a variable product |
add_to_cart |
Add a product (or specific variant) to the cart |
get_cart |
Retrieve cart contents with full cost breakdown |
list_recent_orders |
List recent orders from My Account |
get_order_details |
Fetch line items for a specific order |
Prerequisites
Playwright with one headless browser
npm i -g playwright
playwright install chromium
Configuration
The server reads credentials from environment variables (or a .env file):
TUMA250_BASE_URL=https://tuma250.com
TUMA250_USERNAME=your-email@example.com
TUMA250_PASSWORD=your-password
# Optional
TUMA250_SESSION_FILE=.tuma250_session.json # persists login between runs
TUMA250_DEBUG=false # set true for headed browser
Usage
Cursor / Claude Desktop
Add to ~/.cursor/mcp.json / ~/Library/Application Support/Claude/claude_desktop_config.json:
{
"mcpServers": {
"tuma250": {
"command": "uvx",
"args": ["tuma250-mcp"],
"env": {
"TUMA250_BASE_URL": "https://tuma250.com",
"TUMA250_USERNAME": "your-email@example.com",
"TUMA250_PASSWORD": "your-password"
}
}
}
}
Direct (stdio)
pip install tuma250-mcp
TUMA250_USERNAME=you@example.com TUMA250_PASSWORD=secret tuma250-mcp
Session persistence
After the first successful login, the browser session (cookies) is saved to TUMA250_SESSION_FILE (default: .tuma250_session.json). Subsequent runs reuse the saved session and skip the login step entirely.
Variable products
Some products on Tuma250 require a size/weight selection before they can be added to the cart. Pass the product slug (from search_products or get_order_details) and optionally variation_attributes:
1. search_products("fresh carrots") → returns slug in each result
2. get_product_variations(product_url) → lists 250g / 500g / 1kg variants
3. add_to_cart(product_slug, quantity=1, variation_attributes={"attribute_quantity": "500g"})
Development
# Clone and setup
uv venv
source .venv/bin/activate # or: .venv\Scripts\activate on Windows
uv pip install -e ".[dev]"
playwright install chromium
# Run tests
pytest -v
Copy config-example.env to .env and fill in your Tuma250 credentials before running tests or the server locally.
To test from command line, you may use mcporter, e.g.:
npx mcporter call --stdio "uv run tuma250-mcp" get_cart
npx mcporter call --stdio "uv run tuma250-mcp" 'tuma250.get_order_details(order_id: "193457")'
npx mcporter call --stdio "uv run tuma250-mcp" 'tuma250.add_to_cart(product_slug: "ripe-mango-fruit-1kg")'
npx mcporter call --stdio "uv run tuma250-mcp" add_to_cart --args '{"product_slug": "viande-hachee-de-bouef-ordinaire-regular-ground-beef", "variation_attributes": {"attribute_weight":"1kg"}}'
License
MIT
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.