Ravelry Patterns
A Model Context Protocol server that integrates with the Ravelry API, allowing AI assistants to search for and retrieve knitting and crochet patterns.
What is Ravelry Patterns?
Ravelry Patterns is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to model context protocol server that integrates with the ravelry api, allowing ai assistants to search for and retrieve knitting and crochet patterns.
A Model Context Protocol server that integrates with the Ravelry API, allowing AI assistants to search for and retrieve knitting and crochet patterns.
This server falls under the Search & Data Extraction category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- A Model Context Protocol server that integrates with the Rav
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx ravelry-mcp-serverConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about Ravelry Patterns
What is Ravelry Patterns?
Ravelry Patterns is a Model Context Protocol (MCP) server that model context protocol server that integrates with the ravelry api, allowing ai assistants to search for and retrieve knitting and crochet patterns. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Ravelry Patterns?
Follow the installation instructions on the Ravelry Patterns GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Ravelry Patterns?
Ravelry Patterns works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Ravelry Patterns free to use?
Yes, Ravelry Patterns is open source and available under the MIT License license. You can use it freely in both personal and commercial projects.
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Browse More Search & Data Extraction MCP Servers
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Set Up Ravelry Patterns in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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