Diningcode MCP Server

This project helps you easily fetch restaurant data from Diningcode.com through a simple API.

What it does

Gives you access to Diningcode.com's restaurant information without having to scrape the website yourself. It handles all the messy parts of extracting data from their website.

Main features

• Find restaurants: Search by location, food type, or keywords
• Get details: Pull comprehensive info about specific restaurants including:
  • Contact info and location
  • Ratings and popularity
  • Menu items with prices
  • Recent reviews
  • Special features (parking, etc.)

Setup

1. Make sure you have Python 3.6+
2. Install dependencies: -pip install pymcp requests beautifulsoup4
3. Drop the main script into your project

Quick start

Run the server:

python diningcode_mcp.py

Using the API

Finding restaurants

Search for restaurants in 포승

results = search_restaurants("포승 맛집")

Search by food type

results = search_restaurants("간장게장")

Getting restaurant details

Get full details about a specific restaurant

details = get_restaurant_details("8aPdAkyxppRu")

Sample responses

Restaurant search returns:

[ { "id": "8aPdAkyxppRu", "name": "터프이너프", "address": "경기도 평택시 포승읍 도곡리 942-5", "road_address": "경기도 평택시 포승읍 포승향남로 11", "phone": "0507-1349-9597", "category": "커피, 로스터리카페", "rating": 4.6, "review_count": 21, "image": "https://d12zq4w4guyljn.cloudfront.net/300_300_20250108074811986_photo_168bea41924c.jpg", "link": "https://www.diningcode.com/profile.php?rid=8aPdAkyxppRu", "keywords": ["차모임", "무료주차", "야외테라스"] }, // More restaurants... ]

Restaurant details includes:

{ "id": "8aPdAkyxppRu", "name": "터프이너프", "address": "경기도 평택시 포승읍 포승향남로 11", "phone": "0507-1349-9597", "hours": "매일 11:00-21:00", "rating": "4.6", "menu": [ {"name": "아메리카노", "price": "5,000원"}, {"name": "카페라떼", "price": "5,500원"} ], "reviews": [ { "content": "인테리어가 훤칠않고 빈티지함...", "date": "55년 전" } ] }

Heads up

• If Diningcode changes their website, this might break until updated
• Be cool about how often you hit their site
• The code parses both HTML and embedded JSON from their pages

License

MIT License