BerryRAG
A local vector database RAG system that integrates with Playwright MCP for web scraping, enabling users to build searchable knowledge bases from web content with multiple embedding providers and Claude-optimized context formatting.
What is BerryRAG?
BerryRAG is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to local vector database rag system that integrates with playwright mcp for web scraping, enabling users to build searchable knowledge bases from web content with multiple embedding providers and claude-...
A local vector database RAG system that integrates with Playwright MCP for web scraping, enabling users to build searchable knowledge bases from web content with multiple embedding providers and Claude-optimized context formatting.
This server falls under the Knowledge & Memory category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- A local vector database RAG system that integrates with Play
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx berryragConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about BerryRAG
What is BerryRAG?
BerryRAG is a Model Context Protocol (MCP) server that local vector database rag system that integrates with playwright mcp for web scraping, enabling users to build searchable knowledge bases from web content with multiple embedding providers and claude-optimized context formatting. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install BerryRAG?
Follow the installation instructions on the BerryRAG GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with BerryRAG?
BerryRAG works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is BerryRAG free to use?
Yes, BerryRAG is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Browse More Knowledge & Memory MCP Servers
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Set Up BerryRAG 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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