Qdrant Packages

Model Context Protocol server with multi-agent orchestration, vector database integration, and monitoring capabilities

AI-powered MCP server for codebase navigation and LLM prompt optimization

Core memory engine with vector operations for AI agents

Qdrant vector search engine client library for node

A Model Context Protocol server for fetching and storing documentation in a vector database, enabling semantic search and retrieval to augment LLM capabilities with relevant documentation context.

A Model Context Protocol server for fetching and storing documentation in a vector database, enabling semantic search and retrieval to augment LLM capabilities with relevant documentation context.

一个MCP服务器实现，提供通过向量搜索检索和处理文档的工具，使得AI助手可以在其响应中增加相关文档内容。

A Model Context Protocol server for fetching and storing documentation in a vector database, enabling semantic search and retrieval to augment LLM capabilities with relevant documentation context.

An MCP server for semantic documentation search and retrieval using vector databases to augment LLM capabilities.

A NodeJS RAG framework to easily work with LLMs and custom datasets

An MCP server that scrapes websites, indexes content into Qdrant, and provides a query tool.

An MCP server for semantic documentation search and retrieval using vector databases to augment LLM capabilities.