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Memory Qdrant MCP
Supports UIby balaji-g42
Production-ready memory management using Qdrant vector database for project context and patterns.
0 stars
Works in:VS Code CopilotCursor
Exposes:Tools
What it does
Memory Qdrant MCP provides a comprehensive memory bank for AI agents. It uses the Qdrant vector database to store and retrieve project context, architectural decisions, progress logs, and system patterns using semantic search.
Tools
- log_memory: Store a memory entry to the vector database.
- query_memory: Perform semantic search through memory entries.
- log_decision: Log architectural or project decisions with reasoning.
- log_progress: Track milestones and project progress.
- analyze_conversation: Extract insights from conversation messages.
- export_memory_to_markdown: Back up memories to markdown files.
Installation
To integrate with Claude Desktop, add the following to your claude_desktop_config.json:
{
"mcpServers": {
"memory-qdrant-mcp": {
"command": "npx",
"args": ["memory-qdrant-mcp"],
"env": {
"QDRANT_URL": "http://localhost:6333",
"EMBEDDING_PROVIDER": "openrouter",
"OPENROUTER_API_KEY": "your_openrouter_key_here"
}
}
}
}
Supported hosts
- Claude
- VS Code Copilot
- Roo
- Cursor
Quick install
npx memory-qdrant-mcpInformation
- Pricing
- free
- Published
- 4/19/2026
- stars
- 0
Categories
Choose your AI client and follow the steps below.
Cursor
mcp.json entry in ~/.cursor/ or project .cursor/Claude Desktop
{
"mcpServers": {
"memory-qdrant-mcp": {
"command": "npx",
"args": ["memory-qdrant-mcp"],
"env": { "QDRANT_URL": "http://localhost:6333" }
}
}
}VS Code Copilot
settings.json github.copilot.chat.mcp.servers entry





