Vibe Coding RAG with our MCP server - Qdrant

This post details the integration of Qdrant with the Model Context Protocol (MCP) server to enhance AI coding assistants. It explains how the `mcp-server-qdrant` acts as a semantic memory layer, enabling AI agents to store and retrieve code snippets and documentation using `qdrant-store` and `qdrant-find` tools. The post provides configuration examples for Claude Code, demonstrating how to set up tool descriptions for frontend code generation and storage, and lists key environment variables for the MCP server configuration, including embedding provider and model selection.