# Google Calendar MCP Server

> Use this tool when you need to integrate Google Calendar functionality into AI workflows, enabling large language models (LLMs) to manage and process calendar events, or when you want to extract calendar information from visual data like screenshots and images. It solves problems related to calendar event management, scheduling, and data extraction, providing a standardized interface for LLMs to interact with Google Calendar. The tool accepts inputs like calendar IDs, event details, and image data, and outputs managed calendar events, event listings, and extracted calendar information.

Canonical page: https://skillsregistry.net/skills/caue397-google-calendar-mcp  
JSON: https://api.skillsregistry.net/v1/skills/caue397-google-calendar-mcp

## Description

Enables LLMs to read, create, and manage Google Calendar events through a standardized interface, including features like listing calendars, managing events, and processing calendar information from screenshots and images.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/px6ag3jhqj)
- **Repository:** <https://github.com/Caue397/google-calendar-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "caue397-google-calendar-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/caue397-google-calendar-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/caue397-google-calendar-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
