andiazo/mcp_google_tasks
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Google Tasks MCP Server is a Python-based Model Context Protocol server that allows LLMs to interact with the Google Tasks API.
The Google Tasks MCP Server is designed to facilitate interaction between Large Language Models (LLMs) and the Google Tasks API. Developed by andiazo, cursor, gpt-4o, and claude-3.7-sonnet, this server provides a suite of tools that enable AI assistants to manage Google Tasks directly. It allows users to list, create, view, add, complete, and move tasks across different task lists. The server is particularly useful for task prioritization, organization, management, summarization, and planning. It requires Python 3.8 or higher, a Google Cloud Console account, and the Google Tasks API to be enabled. The setup involves cloning the repository, setting up a virtual environment, installing dependencies, and configuring Google Cloud credentials. Once set up, the server can be connected to AI assistants that support the Model Context Protocol, such as Claude.ai.
Features
- List all your Google Task lists
- Create new task lists
- View tasks within a specific list
- Add new tasks with titles, notes, and due dates
- Mark tasks as completed
