qdrant/mcp-server-qdrant
An official Qdrant Model Context Protocol (MCP) server implementation
MCP server that lets Claude Code and other AI agents read and search large PDFs, one file or a whole folder: agentic RAG with hybrid semantic + keyword search, selective page reads, tables, images, OCR, chart data, and multi-column/CJK layouts.
$ git clone https://github.com/jztan/pdf-mcp.gitAn official Qdrant Model Context Protocol (MCP) server implementation
Give your AI agents persistent, collective memory โ with deduplicating absorb, supersession lineage, semantic search, and a graph UI. Speaks MCP.
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
Code search MCP for Claude Code. Make entire codebase the context for any coding agent.
The ultimate RAG for your monorepo. Query, understand, and edit multi-language codebases with the power of AI and knowledge graphs
Enterprise-grade (40m+ LOC) codebase intelligence, zero-setup, local & private Plugin/Skill/Extension or MCP: hybrid semantic search, polyglot dependency graphs, symbol-level impact analysis & call-flow, interactive HTML viewer, cross-project & branch-aware search, DB/API/infra knowledge. 61% less tokens, 84% fewer calls, 37x faster. Cloud in beta.
Data from GitHub ยท snapshot Sep 24, 2026