Google Tasks MCP Server

Created By

ktmagea year ago

AI assistants and Google Tasks integration through Model Context Protocol.

Overview

What is Google Tasks MCP Server?

Google Tasks MCP Server is an implementation that allows AI assistants to interact with Google Tasks API through the Model Context Protocol (MCP). It enables task management features from MCP-compatible clients.

How to use Google Tasks MCP Server?

To use the server, clone the repository, install dependencies, configure Google Cloud Project, and run the server. You can then integrate it with MCP-compatible IDEs like Cursor.

Key features of Google Tasks MCP Server?

Fetch task list collections
Get tasks within a specific task list
Create new tasks
Mark tasks as completed
Delete tasks

Use cases of Google Tasks MCP Server?

Integrating AI assistants with Google Tasks for task management.
Automating task creation and management through MCP-compatible applications.
Enhancing productivity tools with task management capabilities.

FAQ from Google Tasks MCP Server?

What is the purpose of this project?

This project is designed to practice implementing an MCP server for educational purposes.

Is there any support for issues?

Users are encouraged to report issues or suggest fixes via GitHub.

What are the prerequisites for running the server?

You need Node.js 16 or higher, npm, and a Google Cloud Project account.

Project Info

Created At

a year ago

Updated At

a year ago

Author Name

ktmage

Star

Language

TypeScript

License

MIT license

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