by martin-papy · MCP Server · ★ 44
QDrant Loader 📝 Changelog v1.0.3 - Latest improvements and bug fixes A comprehensive toolkit for loading data into Qdrant vector database with advanced MCP server support for AI-powered development workflows. 🎯 What is QDrant Loader? QDrant Loader is a data ingestion and retrieval system that collects content from multiple sources, processes and vectorizes it, then provides intelligent search capabilities through a Model Context Protocol (MCP) server for AI development tools. Perfect for: 🤖 AI-powered development with Cursor, Windsurf, and other MCP-compatible tools
| Stars | 44 |
| Forks | 26 |
| Language | Python |
| Category | MCP Server |
| License | GPL-3.0 |
| Quality Score | 67.0889916172769/100 |
| Open Issues | 19 |
| Last Updated | 2026-06-30 |
| Created | 2025-04-06 |
| Platforms | cli, mcp, python |
| Est. Tokens | ~15k |
These tools work well together with qdrant-loader for enhanced workflows:
Explore other popular mcp server tools:
qdrant-loader is Enterprise-ready vector database toolkit for building searchable knowledge bases from multiple data sources. Supports multi-project management, automatic ingestion from Confluence/JIRA/Git, intelligen. It is categorized as a MCP Server with 44 GitHub stars.
qdrant-loader is primarily written in Python. It covers topics such as cli-tool, confluence-integration, cursor-ide.
You can find installation instructions and usage details in the qdrant-loader GitHub repository at github.com/martin-papy/qdrant-loader. The project has 44 stars and 26 forks, indicating an active community.
qdrant-loader is released under the GPL-3.0 license, making it free to use and modify according to the license terms.