cbtw-apac/qdrant-loader
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.
Critical Issues
Security ScoreF
Vulnerabilities Found
Quality ScoreD
Maintenance50
Popularity27
Documentation31
Available Documentation
Compatibility67
Features
Agentic MCP Risk Intelligence
MCPSafe checks risks unique to AI-connected MCP servers — prompt surfaces, model-controlled tools, credentials, filesystems, and network reachability.
The current scan did not find prompt-injection, agent command, exfiltration, unbounded filesystem, or MCP SSRF patterns.
Tool metadata can steer or hijack AI clients before a user invokes the tool.
Model-selected tool arguments can reach shell/process execution.
Tool context combines credential access with outbound network capability.
AI-controlled paths may access files outside the intended workspace.
AI-controlled URLs may reach local, metadata, or internal network services.
Vulnerabilities(263)
README
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[](https://mcpsafe.org/registry/cbtw-apac-qdrant-loader)Server Information
- Source
- GITHUB
- Language
- python
- License
- Apache-2.0
- Added
- Jul 20, 2026
- Updated
- Jul 20, 2026