What is an MCP Server?
An MCP (Model Context Protocol) server standardizes how applications provide context to Large Language Models (LLMs). It allows AI models to access and interact with external data sources and tools.
What is the Scrapezy MCP Server?
The Scrapezy MCP Server enables AI models to extract structured data from websites, designed specifically for use with Scrapezy.
How do I install the Scrapezy MCP Server?
You can install it via Smithery (recommended for Claude) or manually using npm. See the installation instructions in the overview.
How do I provide my Scrapezy API key?
You can provide your API key via an environment variable or as a command-line argument. See the API Key Setup section in the overview.
How do I use the Scrapezy MCP Server with Claude?
Add the server configuration to your Claude Desktop configuration file. Then, use prompts in Claude to request data extraction from specific websites.
How do I debug the Scrapezy MCP Server?
Use the MCP Inspector, accessible via npm run inspector, to debug server interactions.
Can I use Scrapezy MCP Server with UBOS?
Yes, integrating Scrapezy MCP Server with UBOS allows you to build AI Agents that automate web data collection, enrich enterprise data, and enhance decision-making.
Scrapezy MCP Server
Project Details
- kxkaloo/mcp
- @scrapezy/mcp
- MIT License
- Last Updated: 4/27/2025
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