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qdrant-loader

Verified Safe

by martin-papy

Overview

A Model Context Protocol (MCP) server that provides advanced Retrieval-Augmented Generation (RAG) capabilities to AI development tools by bridging a QDrant knowledge base for intelligent, context-aware search.

Installation

Run Command
mcp-qdrant-loader

Environment Variables

  • QDRANT_URL
  • LLM_API_KEY
  • QDRANT_COLLECTION_NAME
  • LLM_PROVIDER
  • LLM_BASE_URL
  • LLM_EMBEDDING_MODEL
  • LLM_CHAT_MODEL
  • OPENAI_API_KEY
  • MCP_LOG_LEVEL
  • MCP_LOG_FILE
  • MCP_DISABLE_CONSOLE_LOGGING
  • QDRANT_API_KEY

Security Notes

The server follows good security practices for credential management by exclusively using environment variables and implementing redaction of sensitive information in logs. By default, it binds to localhost for stdio transport, minimizing network exposure. For HTTP transport, origin validation and CORS middleware are configured. No direct dynamic code execution from user input ('eval' or similar) was identified, reducing RCE risks. The system relies on external LLM APIs and QDrant, requiring secure configuration of these external services. While input validation is present via Pydantic schemas for arguments, robust sanitization within each search tool's logic for all user-provided string arguments is always a critical consideration, though the RAG nature of the server inherently limits execution of arbitrary code.

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Stats

Interest Score41
Security Score8
Cost ClassMedium
Avg Tokens200
Stars26
Forks16
Last Update2026-01-13

Tags

RAGAIMCPSearchQdrantPythonDevelopmentKnowledge BaseSemantic SearchLLM Integration