jacob-bd/gemini-notebook-mcp-cli

Programmatic access to Gemini Notebook - via command-line interface (CLI), Model Context Protocol (MCP) server, and AI agent skills.

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Summary Information

Updated 25 minutes ago
Added to GitGenius on September 11th, 2026
Created on December 23rd, 2025
Open Issues & Pull Requests: 0 (+0)
GitHub issues: Enabled
Number of forks: 925
Total Stargazers: 6,066 (+0)
Total Subscribers: 42 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 12.8 hours
Mean response time: 24.6 hours
90th percentile: 2.3 days
Tracked items: 159

How this project is maintained

Around half of the issues opened in the past year never receive a reply. Only 16% of issues opened in the past year have been closed. Three people close 93% of everything that gets resolved.

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Issue Activity (beta)

Open issues: 0
New in 7 days: 2
Closed in 7 days: 2
Avg open age: N/A days
Stale 30+ days: 0
Stale 90+ days: 0

Recent activity

Opened in 7 days: 2
Closed in 7 days: 2
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • experimental (1)

Detailed Description

Gemini Notebook MCP CLI is a command-line interface and Model Context Protocol server that provides programmatic access to Gemini Notebook.

The tool solves the problem of integrating Gemini Notebook into automated workflows and AI agent systems. It works by exposing Gemini Notebook's functionality through two interfaces: a CLI for direct command execution and an MCP server that allows AI agents and other applications to interact with Gemini Notebook as a tool. This enables users to automate notebook creation, manipulation, and analysis without manual interaction through the web interface.

The tool suits developers who want to integrate Gemini Notebook into larger systems, automate notebook workflows, or provide Gemini Notebook capabilities to AI agents like Claude or Perplexity. It works with personal consumer accounts, which are tested regularly, though Gemini Notebook Enterprise support is noted as experimental. The project includes support for infographics and can be integrated into various AI agent frameworks through the MCP protocol.

Development activity shows consistent feature expansion with multiple demo videos covering CLI operations, MCP server setup, and integration with different AI agents. The project maintains active documentation and includes diagnostic tooling such as a doctor command for troubleshooting setup issues. The maintainer actively develops the tool in spare time and has built out comprehensive examples showing integration with Claude Desktop, Perplexity Desktop, and other MCP-compatible systems.