culinary-mcp

Culinary MCP is designed to facilitate the interaction between a local JSON database and a large language model (LLM) for culinary applications. It allows users to manage and query their culinary data, such as ingredients and recipes, through a structured protocol. This server acts as a bridge, enabling seamless communication and data exchange between the LLM and the local database. By leveraging the capabilities of the LLM, users can perform complex queries, generate recipe suggestions, and manage their inventory efficiently. The protocol ensures that the data is consistently updated and accessible, providing a robust solution for culinary data management.

Features

• Seamless integration with local JSON databases for culinary data management.
• Efficient querying and data retrieval through a large language model.
• Inventory management for tracking ingredients in various storage locations.
• Recipe generation and suggestion based on available ingredients.
• Consistent data synchronization between the LLM and the local database.

MCP Resources

• {'name': 'Model Context Protocol Documentation', 'description': 'https://modelcontextprotocol.io/ provides comprehensive documentation on implementing and using the Model Context Protocol.'}

Usage with Different Platforms

python

python
import requests

url = 'http://localhost:5000/query'
data = {'query': 'What can I cook with chicken and rice?'}
response = requests.post(url, json=data)
print(response.json())

nodejs

javascript
const axios = require('axios');

axios.post('http://localhost:5000/query', {
    query: 'What can I cook with chicken and rice?'
})
.then(response => {
    console.log(response.data);
})
.catch(error => {
    console.error(error);
});