Specialized Model-Context-Protocol servers for cannabis data scraping, code analysis, AI text processing, and JSON management
The Leafly Cannabis Strain Data Scraper MCP Server specializes in collecting structured cannabis strain data from Leafly.com, following a standardized schema and methodology. This server integrates seamlessly with multiple AI applications like Claude Desktop, Continue, Cursor, among others, through the Model Context Protocol (MCP) to provide users with access to detailed and accurate cannabis strain information.
The Leafly Cannabis Strain Data Scraper implements both regex-based and LLM-powered extraction methods. This combination ensures robust and reliable data collection, including 66 standardized data points per strain such as THC/CBD levels, terpenes, user effects, medical benefits, and more.
The scraper follows a rigorous normalization methodology to handle inconsistencies in the extracted data from Leafly.com. This includes prioritizing lab-tested data, applying consistent values for missing fields, and normalizing effect and flavor data on a 0-1 scale.
Features like fallback mechanisms for strains that require additional processing ensure comprehensive coverage of cannabis strain data. The server also supports exporting data in CSV or JSON formats, making it easy to integrate with various applications.
The Leafly Cannabis Strain Data Scraper leverages the Model Context Protocol (MCP) for seamless integration with AI applications such as Claude Desktop, Continue, and Cursor. The server uses a command-line interface and supports the MCP architecture by utilizing an API key for authentication.
graph TD
A[AI Application] -->|MCP Client| B[MCP Protocol]
B --> C[MCP Server]
C --> D[Data Source/Tool]
style A fill:#e1f5fe
style C fill:#f3e5f5
style D fill:#e8f5e8
MCP Client | Resources | Tools | Prompts | Status |
---|---|---|---|---|
Claude Desktop | ✅ | ✅ | ✅ | Full Support |
Continue | ✅ | ✅ | ✅ | Full Support |
Cursor | ❌ | ✅ | ❌ | Tools Only |
Run the following commands to set up and start the Leafly Cannabis Strain Data Scraper MCP Server:
npm install -g @modelcontextprotocol/sdk openai dotenv
echo "API_KEY=your_api_key_here" > .env
npx @modelcontextprotocol/npm [name]@latest
Here is a sample configuration for integrating the Leafly Cannabis Strain Data Scraper MCP Server with an AI application:
{
"mcpServers": {
"[server-name]": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-[name]"],
"env": {
"API_KEY": "your-api_key_here"
}
}
}
}
Cannabis researchers can use the Leafly Cannabis Strain Data Scraper MCP Server to collect detailed strain information for their studies. This data can be analyzed using various tools, providing insights into different strains' properties.
CBD oil manufacturers can leverage the scraped data to develop products tailored to specific user profiles. By understanding which terpenes and cannabinoids are prevalent in certain strains, they can create more effective formulations based on scientific evidence.
The Leafly Cannabis Strain Data Scraper MCP Server is designed to be compatible with a variety of MCP clients including Claude Desktop, Continue, Cursor, and others. This compatibility ensures that the scraped data can be easily integrated into various applications for further analysis or research purposes.
The server supports the latest versions of Claude Desktop, Continue, Cursor, and other clients through regular updates. This ensures that users have access to the most up-to-date data sources without any downtime.
Configuring the MCP client involves setting environment variables such as API keys securely and specifying command-line arguments for customizing the behavior of the server.
export MCPF_CLIENT_AUTH="your_api_key"
npx @modelcontextprotocol/npm [name]@latest --env-file=.env
The Leafly Cannabis Strain Data Scraper MCP Server employs security measures such as secure API key management and regular code reviews to ensure data privacy and integrity.
Q: Can I customize the extraction process for specific strains? A: Yes, you can tweak the scraping rules based on the strain names or other relevant filters using the provided LLM-powered extraction methods.
Q: How often is the data refreshed? A: The data is collected every 15 minutes to ensure up-to-date information remains available.
Q: Is there a limit to how many strains can be scraped at once? A: The server dynamically handles large numbers of strain requests, ensuring minimal load times and quick responses.
Q: Can the data be exported in other formats besides CSV and JSON? A: Currently, only CSV and JSON are supported, but additional export options may be added based on user demand.
Q: What kind of support is available if something goes wrong with my setup? A: We provide documentation and community support through our forum for troubleshooting common issues related to MCP server configurations.
Contributions are welcome! If you have any ideas or bug fixes, please open an issue or submit a pull request. Detailed guidelines can be found in the CONTRIBUTING.md
file included with the repository.
Join the broader MCP community by participating in forums and attending webinars where experts discuss best practices for integrating MCP servers into various AI applications.
By leveraging the Leafly Cannabis Strain Data Scraper MCP Server, developers can enhance their AI workflows with robust and reliable cannabis strain data, ensuring that their applications provide accurate information to users.
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