Jupyter MCP Server vs Memory (Knowledge Graph)

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

	Jupyter MCP Server Connect AI to Jupyter Notebooks in real-time — run cells, read outputs, and manage multiple notebooks. Unverified stdio (local) API key Python	Memory (Knowledge Graph) Official MCP server providing persistent, file-backed knowledge-graph memory across sessions. Verified stdio (local) No auth TypeScript
Category	AI, Data & Knowledge	AI, Data & Knowledge
Language	Python	TypeScript
Transport	stdio (local)	stdio (local)
Auth	API key	None
GitHub stars	1.2k	74k
Last commit	1 month ago	5 months ago
Verified
Actively maintained
Install	`uvx jupyter-mcp-server@latest`	`npx -y @modelcontextprotocol/server-memory`
Repo	Open	Open

Verdict

Pick Jupyter MCP Server if you need the broadest set of tools.

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

Add Jupyter MCP Server

Install / run

uvx jupyter-mcp-server@latest

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

{
  "mcpServers": {
    "jupyter-mcp-server": {
      "command": "uvx",
      "args": [
        "jupyter-mcp-server@latest"
      ],
      "env": {
        "JUPYTER_URL": "http://localhost:8888",
        "JUPYTER_TOKEN": "MY_TOKEN",
        "ALLOW_IMG_OUTPUT": "true"
      }
    }
  }
}

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

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"
      }
    }
  }
}

FAQ

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

Pick Jupyter MCP Server if you need the broadest set of tools. Pick Memory (Knowledge Graph) if you prefer the more popular, battle-tested option, and you want zero-setup with no API key.

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

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

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

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