Skip to main content

MCP server and CLI for the Gemini web interface

Project description

gemini-web-mcp-cli

MCP server and CLI for the Gemini web interface. Reverse-engineers the Gemini web UI's RPC protocol to provide programmatic access to all Gemini features.

Features

  • Chat with model selection (Gemini 3.0 Pro, Flash, Flash Thinking, and more)
  • Interactive REPL with slash commands, session persistence, and model switching
  • Image generation via Nano Banana / Imagen
  • Video generation via Veo 3.1
  • Deep Research with multi-source reports
  • Gems management (custom system prompts)
  • Multi-profile support with cross-product profile sharing (NotebookLM MCP)
  • MCP server with 8 consolidated tools for AI agent integration
  • Skill system to teach AI tools (Claude Code, Cursor, Codex, etc.) how to use gemcli
  • Diagnostics (gemcli doctor) for installation, auth, and configuration checks
  • One-command setup (gemcli setup add <tool>) for MCP client configuration

Installation

# Basic install (CLI only)
pip install gemini-web-mcp-cli

# With MCP server support
pip install "gemini-web-mcp-cli[mcp]"

# With uv (recommended)
uv tool install "gemini-web-mcp-cli[mcp]"

# Development
pip install "gemini-web-mcp-cli[all]"

Quick Start

1. Authenticate

gemcli login                  # Automated Chrome login via CDP
gemcli login --manual         # Paste cookies manually
gemcli login --check          # Validate current session

Automated login opens Chrome, navigates to gemini.google.com, and captures cookies via CDP. If you have a NotebookLM MCP profile, gemcli can reuse it automatically.

2. Chat

gemcli chat "What is the meaning of life?"
gemcli chat "Explain quantum computing" -m pro
gemcli chat "Summarize this" -o summary.md
gemcli chat                   # Interactive REPL

Interactive REPL commands:

Command Description
/model <name> Switch model (pro, flash, thinking)
/verify Show server model hash
/new Start new conversation
/save <file> Export conversation
/history View conversation turns
/help Show help
/quit Exit REPL

3. Generate Images

gemcli image "A red panda wearing a top hat in a bamboo forest"
gemcli image "A futuristic city at sunset" -o city.png

4. Generate Videos

gemcli video "Ocean waves crashing on a rocky beach at sunset"
gemcli video "Dancing robot" -o robot.mp4

5. Deep Research

gemcli research "Latest advances in quantum computing 2026"
gemcli research "AI regulation landscape" -o report.md

6. Manage Gems

gemcli gems list
gemcli gems create --name "Code Reviewer" --prompt "You are an expert code reviewer..."
gemcli gems delete <gem-id>

Profile Management

gemcli profile list                    # List profiles
gemcli profile create work             # Create new profile
gemcli profile switch work             # Switch active profile
gemcli chat "hello" --profile work     # Use specific profile

Cross-product profile sharing: gemcli automatically discovers profiles from NotebookLM MCP (~/.notebooklm-mcp-cli/profiles/). No copying — profiles are read live.

Environment variable: GEMCLI_PROFILE=work overrides the active profile.

MCP Server Setup

Use gemcli setup to configure the MCP server for your AI tools in one command:

gemcli setup add cursor            # Configure Cursor
gemcli setup add claude-code       # Configure Claude Code
gemcli setup add claude-desktop    # Configure Claude Desktop
gemcli setup add gemini-cli        # Configure Gemini CLI
gemcli setup add windsurf          # Configure Windsurf
gemcli setup add cline             # Configure Cline
gemcli setup add antigravity       # Configure Antigravity
gemcli setup list                  # Show configuration status
gemcli setup remove cursor         # Remove configuration

Or add manually to your MCP client config:

{
  "mcpServers": {
    "gemini-web-mcp": {
      "command": "gemini-web-mcp",
      "args": []
    }
  }
}

Available MCP Tools

Tool Actions Description
chat send Conversations with model selection and extensions
image generate, download Image creation (Nano Banana / Imagen)
video generate, status, download Video creation (Veo 3.1)
research start, status Deep Research with reports
gems list, create, update, delete Custom Gem management
canvas create, update, export Canvas documents (coming soon)
code execute, download Python sandbox (coming soon)
file upload File uploads for context (coming soon)

Skill System

Skills teach AI tools how to use gemcli effectively. Install a skill so your AI assistant knows all gemcli commands, workflows, and best practices.

gemcli skill install claude-code   # Install for Claude Code
gemcli skill install cursor        # Install for Cursor
gemcli skill install codex         # Install for Codex (AGENTS.md format)
gemcli skill install gemini-cli    # Install for Gemini CLI
gemcli skill list                  # Show installation status
gemcli skill update                # Update all installed skills
gemcli skill show                  # Display skill documentation
gemcli skill uninstall claude-code # Remove a skill

Supported tools: claude-code, cursor, codex, opencode, gemini-cli, antigravity, cline, openclaw, other (exports all formats).

Diagnostics

gemcli doctor              # Check installation, auth, and configuration
gemcli doctor --verbose    # Detailed diagnostics with paths and timestamps

The doctor command checks:

  • Installation (gemcli and gemini-web-mcp binaries)
  • Chrome (binary detection, saved profiles)
  • Configuration (config directory, profiles, NotebookLM cross-product)
  • Authentication (cookies and tokens for active profile)
  • MCP clients (configuration status across all supported tools)
  • Skills (installation status)

Verb-First Aliases

Alternative command syntax for convenience:

gemcli list gems               # = gemcli gems list
gemcli list profiles           # = gemcli profile list
gemcli list skills             # = gemcli skill list
gemcli create gem --name ...   # = gemcli gems create --name ...
gemcli delete gem <id>         # = gemcli gems delete <id>
gemcli install skill <tool>    # = gemcli skill install <tool>
gemcli update skill [tool]     # = gemcli skill update [tool]

AI-Friendly Documentation

gemcli --ai                    # Print full AI-friendly docs to stdout

Outputs complete documentation in a format optimized for AI assistants to read and understand the full CLI and MCP tool surface.

Architecture

src/gemini_web_mcp_cli/
    core/              # RPC transport, auth, parsing (shared foundation)
    services/          # Business logic (single source of truth)
    data/              # Skill documentation (ships with package)
    cli.py             # CLI (Click) — thin wrapper over services
    mcp.py             # MCP server (FastMCP) — thin wrapper over services
    setup.py           # MCP client configuration helper
    skill.py           # Skill installer for AI tools

All interfaces (CLI, MCP, future API) consume the same service layer. When Gemini changes an RPC, you update one service file and everything works.

Development

git clone https://github.com/jacob-bd/gemini-web-mcp-cli
cd gemini-web-mcp-cli
uv venv && source .venv/bin/activate
uv pip install -e ".[all]"
pytest tests/ -v                  # 203 tests
ruff check src/ tests/            # Lint

Acknowledgments

Protocol knowledge informed by HanaokaYuzu/Gemini-API, an excellent reverse-engineering of the Gemini web interface. Clean-room rebuild following patterns from notebooklm-mcp-cli and perplexity-web-mcp.

License

MIT

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

gemini_web_mcp_cli-0.1.0.tar.gz (123.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

gemini_web_mcp_cli-0.1.0-py3-none-any.whl (92.1 kB view details)

Uploaded Python 3

File details

Details for the file gemini_web_mcp_cli-0.1.0.tar.gz.

File metadata

  • Download URL: gemini_web_mcp_cli-0.1.0.tar.gz
  • Upload date:
  • Size: 123.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for gemini_web_mcp_cli-0.1.0.tar.gz
Algorithm Hash digest
SHA256 68102381c53e148de67cac61a8dbf02247cc0868d9e58fd5ad7f989e8e3d508f
MD5 edad1e1364829ce4a5709b00621d9b36
BLAKE2b-256 c15ae1382a99b34916b7d72563c4eb6d83b2b775d2bacb03f45af4853ad3903c

See more details on using hashes here.

Provenance

The following attestation bundles were made for gemini_web_mcp_cli-0.1.0.tar.gz:

Publisher: release.yml on jacob-bd/gemini-web-mcp-cli

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file gemini_web_mcp_cli-0.1.0-py3-none-any.whl.

File metadata

File hashes

Hashes for gemini_web_mcp_cli-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 aa779ba3422d0fecddd83e597833c1b5163781b175484a9e15927340a8600ce7
MD5 9e0a678f2cf2301942b78976a9766638
BLAKE2b-256 72313fb2983fa27ffdc059a13161f8573e3ef226af39d35618f1b66cd1c669dc

See more details on using hashes here.

Provenance

The following attestation bundles were made for gemini_web_mcp_cli-0.1.0-py3-none-any.whl:

Publisher: release.yml on jacob-bd/gemini-web-mcp-cli

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page