BerryRAG
Rank #49152glama/berrydev-ai/berry-rag
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.
BerryRAG is a Model Context Protocol (MCP) server published by berrydev-ai. It ranks #49152 of 58,832 servers tracked on MCP Toplist. BerryRAG is listed on Glama, and ships as a single rolling release with no explicit version metadata. It was first listed on Jan 8, 2026.
Ranks ahead of 9,680 of 58,832 servers on MCP Toplist.
Use BerryRAG
BerryRAG doesn’t publish a machine-readable install config. Follow the setup instructions in its repository ↗, or open one of its registry listings above.
Listed on 1 registry
berrydev-ai
Other servers by berrydev-ai
View all berrydev-ai servers →Not versioned
This server is published through a registry that does not expose explicit version metadata, and no GitHub release tags were found on the linked repository. The listing tracks a single rolling release.
Frequently asked questions
- What is 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.
- Who maintains BerryRAG?
- BerryRAG is maintained by berrydev-ai, which publishes 3 MCP servers (0 total versions) tracked on MCP Toplist.
- Is BerryRAG an official MCP server?
- BerryRAG is not on the Official MCP Registry. It is listed on Glama.
- How many versions does BerryRAG have?
- BerryRAG ships as a single rolling release with no explicit version metadata.
- Where can I find the source code for BerryRAG?
- The source code for BerryRAG is hosted at github.com/berrydev-ai/berry-rag.