by martin-papy · MCP Server · ★ 37
Enterprise-ready vector database toolkit for building searchable knowledge bases from multiple data sources. Supports multi-project management, automatic ingestion from Confluence/JIRA/Git, intelligent file conversion (PDF/Office/images), and semantic search. Includes MCP server for seamless AI assistant integration.
| Stars | 37 |
| Forks | 21 |
| Language | Python |
| Category | MCP Server |
| License | GPL-3.0 |
| Quality Score | 36.3/100 |
| Open Issues | 17 |
| Last Updated | 2026-03-27 |
| Created | 2025-04-06 |
| Platforms | cli, mcp, python |
| Est. Tokens | ~2034k |
These tools work well together with qdrant-loader for enhanced workflows:
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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 37 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 37 stars and 21 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.