workspace-qdrant-mcp
Verified Safeby ChrisGVE
Overview
A semantic workspace platform that provides project-scoped vector database operations through a Model Context Protocol (MCP) server, backed by a high-performance Rust daemon for file watching, processing, and ingestion. It enables LLM agents to naturally interact with project knowledge through conversational memory and hybrid semantic search.
Installation
python -m workspace_qdrant_mcp.main --transport httpEnvironment Variables
- QDRANT_URL
- QDRANT_API_KEY
- FASTEMBED_MODEL
- WORKSPACE_QDRANT_LOG_LEVEL
- WORKSPACE_QDRANT_QDRANT__URL
- CLAUDE_MODEL
- HOME
- PATH
Security Notes
The system demonstrates strong architectural security principles, notably 'Daemon-Only Writes' to Qdrant (First Principle 10), which centralizes data modification through a trusted Rust component and prevents direct writes from potentially less secure LLM agents or the Python MCP server. Sensitive data handling includes log sanitization (e.g., API keys, passwords) and binary validation for CLI-managed executables. TLS for gRPC communication is 'infrastructure ready' but not explicitly marked as deployed, posing a potential risk in untrusted network environments if not otherwise secured. Configuration is managed using environment variables, avoiding hardcoded secrets.
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