Memory (Knowledge Graph) vs Qdrant MCP Server

A side-by-side comparison of two AI, Data & Knowledge servers — tools, transport, auth, maintenance, and copy-paste config for each.

	Memory (Knowledge Graph) Official MCP server providing persistent, file-backed knowledge-graph memory across sessions. Verified stdio (local) No auth TypeScript	Qdrant MCP Server Official Qdrant server using a vector collection as semantic memory: store and find embeddings. Verified stdio (local) API key Python
Category	AI, Data & Knowledge	AI, Data & Knowledge
Language	TypeScript	Python
Transport	stdio (local)	stdio (local)
Auth	None	API key
GitHub stars	74k	1.1k
Last commit	5 months ago	1 month ago
Verified
Actively maintained
Install	`npx -y @modelcontextprotocol/server-memory`	`uvx mcp-server-qdrant`
Repo	Open	Open

Verdict

Pick Memory (Knowledge Graph) if you prefer the more popular, battle-tested option, and you want zero-setup with no API key.

Pick Qdrant MCP Server if you prefer its approach (official qdrant server using a vector collection as semantic memory: store and find embeddings).

Add Memory (Knowledge Graph)

Install / run

npx -y @modelcontextprotocol/server-memory

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "memory-knowledge-graph": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-memory"
      ],
      "env": {
        "MEMORY_FILE_PATH": "/absolute/path/to/memory.jsonl"
      }
    }
  }
}

Add Qdrant MCP Server

Install / run

uvx mcp-server-qdrant

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "qdrant-mcp-server": {
      "command": "uvx",
      "args": [
        "mcp-server-qdrant"
      ],
      "env": {
        "QDRANT_URL": "https://<your-cluster>.cloud.qdrant.io:6333",
        "QDRANT_API_KEY": "<your-api-key>",
        "COLLECTION_NAME": "<your-collection-name>",
        "EMBEDDING_MODEL": "sentence-transformers/all-MiniLM-L6-v2"
      }
    }
  }
}

Requires `uv` (the Python package runner). Install it from https://docs.astral.sh/uv/ if `uvx` is not found.

FAQ

Memory (Knowledge Graph) or Qdrant MCP Server — which is better?

Pick Memory (Knowledge Graph) if you prefer the more popular, battle-tested option, and you want zero-setup with no API key. Pick Qdrant MCP Server if you prefer its approach (official qdrant server using a vector collection as semantic memory: store and find embeddings).

Can I use both Memory (Knowledge Graph) and Qdrant MCP Server?

Yes — MCP clients let you enable multiple servers at once. Add both configs to your client's mcpServers and use whichever tool fits the task.

Do Memory (Knowledge Graph) and Qdrant MCP Server work with Claude, Cursor and Windsurf?

Both do. Copy the per-client config below into Claude Desktop, Cursor, or Windsurf.

View Memory (Knowledge Graph) →View Qdrant MCP Server →More comparisons →