Toogle

Toogle = Tana + Google

A unified Model Context Protocol (MCP) server that bridges Tana and Google services for AI agents.

What is this?

This server acts as a bridge between AI coding assistants (like Claude, Cursor, or Windsurf) and your external tools:

• Tana – Semantic search across your personal knowledge graph
• Google Calendar – List and create events programmatically

Instead of asking an AI to run scripts, it can now call tools directly like tana_search or calendar_add_event.

Tools

Tool	Description
tana_search	Full-text or semantic search across your Tana workspace
tana_node_show	Retrieve full content of a specific Tana node by ID
calendar_list_events	List upcoming Google Calendar events
calendar_add_event	Create a new calendar event

Prerequisites

• Bun runtime
• Supertag CLI – Required for Tana integration. Created by Jens-Christian Fischer, this excellent CLI provides the bridge to your Tana workspace.
• Google Cloud OAuth credentials (for Calendar access)
• Ollama running locally with bge-m3 model (optional, for semantic search)

Installation

git clone https://github.com/krshirkoohi/toogle-mcp.git
cd toogle-mcp
bun install

Configuration

Add to your MCP config (e.g., ~/.gemini/antigravity/mcp_config.json):

{
  "mcpServers": {
    "antigravity": {
      "command": "/path/to/bun",
      "args": ["/path/to/antigravity-server/index.ts"],
      "env": {
        "SUPERTAG_PATH": "/path/to/supertag",
        "CALENDAR_TIMEZONE": "Europe/London",
        "GOOGLE_CLIENT_ID": "your-client-id",
        "GOOGLE_CLIENT_SECRET": "your-client-secret",
        "GOOGLE_REFRESH_TOKEN": "your-refresh-token"
      }
    }
  }
}

Usage

Once configured, your AI agent will have access to the tools. Example prompts:

• "Search my Tana for notes about project planning"
• "What's on my calendar this week?"
• "Add a meeting tomorrow at 3pm"

Architecture

┌─────────────────┐     ┌──────────────────┐     ┌─────────────┐
│   AI Agent      │────▶│    Toogle MCP    │────▶│   Tana CLI  │
│ (Claude/Cursor) │     │      Server      │     │   (search)  │
└─────────────────┘     └──────────────────┘     └─────────────┘
                               │
                               ▼
                        ┌─────────────┐
                        │ Google API  │
                        │ (Calendar)  │
                        └─────────────┘

Why MCP?

The Model Context Protocol allows AI assistants to take actions in the real world, not just generate text. This server demonstrates how to:

1. Wrap CLI tools as MCP endpoints
2. Authenticate with OAuth APIs
3. Return structured data to agents

License

MIT

Author

Built by Kavia Shirkoohi (shirkoohi.com) as part of the Antigravity project.