プログラム的にJuppyterのノートと管理し、相互作用するためのMCPサーバー。

コンポーネント

ツール

サーバは、ノートブック操作のための6つのツールを提供しています。

1. [read_notebook_with_outputs: セル出力を含むノートブックのコンテンツを読みます

• 必須: notebook_path (文字列)

2. [read_notebook_source_only:出力なしでノートブックの内容を読んで下さい

• 必須: notebook_path (文字列)
• サイズ制限が出力のフルノートを読むことを防ぐとき使用して下さい

3. [[read_output_of_cell]: 特定のセルの出力を読みます

• 必須:
• [notebook_path (文字列)
• [cell_id (文字列)

• 必須:
• [notebook_path (文字列)
• source (文字列)
• 任意:
• [cell_type (文字列): “code” または “markdown”
• [position (整数): インサートインデックス (-1 を付加)

5. [edit_cell: 既存のセルコンテンツの修正

• 必須:
• [notebook_path (文字列)
• [cell_id(文字列):編集するセルのユニークなID
• [source (文字列)

6. [execute_cell: 特定のセルを実行し、出力を返す

• 必須:
• [notebook_path (文字列)
• [cell_id (文字列)
• 細胞の実行および出力を検証するのに有用

Claudeデスクトップでの使用

mcp-server-jupyter

An MCP server for managing and interacting with Jupyter notebooks programmatically.

Components

Tools

The server provides six tools for notebook manipulation:

1. read_notebook_with_outputs: Read a notebook’s content including cell outputs

   • Required: notebook_path (string)

2. read_notebook_source_only: Read notebook content without outputs

   • Required: notebook_path (string)
   • Use when size limitations prevent reading full notebook with outputs

3. read_output_of_cell: Read output of a specific cell

   • Required:
     • notebook_path (string)
     • cell_id (string)

4. add_cell: Add new cell to notebook

   • Required:
     • notebook_path (string)
     • source (string)
   • Optional:
     • cell_type (string): “code” or “markdown”
     • position (integer): insertion index (-1 to append)

5. edit_cell: Modify existing cell content

   • Required:
     • notebook_path (string)
     • cell_id (string): Unique ID of the cell to edit
     • source (string)

6. execute_cell: Execute a specific cell and return its output

   • Required:
     • notebook_path (string)
     • cell_id (string)
   • Useful for verifying cell execution and output

Usage with Claude Desktop

Step1: Start JupyterLab or Jupyter Notebook

By using uv to run Jupyter notebooks it’s much easier to manage venv and package installations.

Follow uv jupyter docummentation for more details.

uv venv --seed
source .venv/bin/activate
uv pip install jupyterlab
.venv/bin/jupyter lab

NOTE: this environment should be used as UV_PROJECT_ENVIRONMENT env variable in MCP server (next step). Run in the same folder where Jupyter started.

echo $(pwd)/.venv

Step2: Configure Claude Desctop Add this configuration to your Claude Desktop config file:

PyPi package:

// ~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "Jupyter-notebook-manager": {
      "command": "uv",
      "args": ["run", "--with", "mcp-server-jupyter", "mcp-server-jupyter"],
      "env": {
        "UV_PROJECT_ENVIRONMENT": "/path/to/venv_for_jupyter/.venv"
      }
    }
  }
}

Git repo fork

// ~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "Jupyter-notebook-manager": {
      "command": "uv",
      "args": [
        "run",
        "--directory",
        "/Users/inna/mcp-server-jupyter/src/mcp_server_jupyter",
        "mcp-server-jupyter"
      ],
      "env": {
        "UV_PROJECT_ENVIRONMENT": "/path/to/venv_for_jupyter/.venv"
      }
    }
  }
}

Step 3: Open Notebook & Claude Chat

Open or create a notebook in JupyterLab/Jupyter Notebook

Get the full path to your notebook: