AIBase
EN
Explore
Ai Scheduler MCP
A

Ai Scheduler MCP

An MCP server that integrates Google Tasks and Calendar APIs, providing task and calendar function call services for MCP clients such as Roo Code.
Schedule managementDeveloper tools#Task management#Calendar synchronization#API integration#MCP service Remote.TypeScript
2 points
9.2K
Open Site

Overview

Installation

Tools List

Content Details

Alternatives

What is AI Scheduler MCP?

This is a bridge server that connects Google Tasks and Calendar services, allowing other applications to access Google's task and calendar functions through the standardized MCP protocol.

How to use AI Scheduler MCP?

It can be deployed with simple Docker commands. After configuring Google API authorization, any client compatible with the MCP protocol can connect and use it.

Use cases

Suitable for third - party applications that need to integrate Google task and calendar functions, especially for task management scenarios of AI assistant applications.

Main features

Google Tasks integration
Complete task management functions, including creating, reading, updating, and deleting tasks.
Google Calendar integration
Comprehensive calendar event management, supporting CRUD operations on events.
SSE communication protocol
Use Server - Sent Events to achieve real - time data updates.
Advantages
Simplify the integration complexity of Google APIs
The standardized MCP protocol facilitates multi - client compatibility
Docker containerized deployment is simple and convenient
Limitations
Requires Google account authorization
Only supports Google Tasks and Calendar services
Initial configuration requires technical knowledge

How to use

Environment preparation
Ensure that Docker is installed and the mcp - network is created.
Get Google API credentials
Obtain the credentials.json file from the Google Cloud Console.
Build the Docker image
Use the provided script to build the service image.
Initial authorization
Complete the OAuth authorization process for the Google account.
Start the service
Use the script to start the MCP server.

Usage examples

Roo Code integration
Configure the MCP server connection in the Roo Code editor.
Development container connection
Access the service from the development container through host.docker.internal.

Frequently Asked Questions

How to update Google API credentials?
What if the authorization token (token.json) expires?
What could be the reasons if the service fails to start?

Related resources

Google Tasks API documentation
Official API reference documentation
Google Calendar API documentation
Official API reference documentation
MCP protocol specification
Model Context Protocol standard documentation

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "ai-scheduler-mcp-server": {
      "url": "http://localhost:${PORT}/sse"
    }
  }
}

{
  "mcpServers": {
    "ai-scheduler-mcp-server": {
      "url": "http://172.17.0.1:3003/sse"
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

V
Vestige
Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.
Rust
6.0K
4.5 points
M
Moltbrain
MoltBrain is a long-term memory layer plugin designed for OpenClaw, MoltBook, and Claude Code, capable of automatically learning and recalling project context, providing intelligent search, observation recording, analysis statistics, and persistent storage functions.
TypeScript
7.0K
4.5 points
B
Bm.md
A feature-rich Markdown typesetting tool that supports multiple style themes and platform adaptation, providing real-time editing preview, image export, and API integration capabilities
TypeScript
15.1K
5 points
S
Security Detections MCP
Security Detections MCP is a server based on the Model Context Protocol that allows LLMs to query a unified security detection rule database covering Sigma, Splunk ESCU, Elastic, and KQL formats. The latest version 3.0 is upgraded to an autonomous detection engineering platform that can automatically extract TTPs from threat intelligence, analyze coverage gaps, generate SIEM-native format detection rules, run tests, and verify. The project includes over 71 tools, 11 pre-built workflow prompts, and a knowledge graph system, supporting multiple SIEM platforms.
TypeScript
5.8K
4 points
P
Paperbanana
Python
7.2K
5 points
B
Better Icons
An MCP server and CLI tool that provides search and retrieval of over 200,000 icons, supports more than 150 icon libraries, and helps AI assistants and developers quickly obtain and use icons.
TypeScript
8.5K
4.5 points
A
Assistant Ui
assistant - ui is an open - source TypeScript/React library for quickly building production - grade AI chat interfaces, providing composable UI components, streaming responses, accessibility, etc., and supporting multiple AI backends and models.
TypeScript
7.0K
5 points
A
Apify MCP Server
The Apify MCP Server is a tool based on the Model Context Protocol (MCP) that allows AI assistants to extract data from websites such as social media, search engines, and e-commerce through thousands of ready-to-use crawlers, scrapers, and automation tools (Apify Actors). It supports OAuth and Skyfire proxy payment and can be integrated into MCP clients such as Claude and VS Code through HTTPS endpoints or local stdio.
TypeScript
8.1K
5 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
21.5K
4.5 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
36.9K
5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
25.7K
4.3 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
76.0K
4.3 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
66.2K
4.5 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
34.9K
5 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
99.8K
4.7 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
50.3K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
English简体中文繁體中文にほんご
© 2026AIBase