What dependencies are required?
Install `google-auth`, `google-auth-oauthlib`, `gspread`, `mcp`, and `oauth2client` using `uv add` in your virtual environment.
@vijaynaikd
Basic information
Simple MCP Server to Task Management
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"my_tasks": {
"command": "uv",
"args": [
"--directory",
"/path to your project/mcp_server/",
"run",
"main.py"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
My_tasks_mcp is a simple MCP server for task management that uses a Google Sheet as its database. It is intended for users who want to manage tasks through a chat interface (e.g., Claude Desktop) while storing data in a familiar spreadsheet format.
Clone the repository, create and activate a Python virtual environment, then set up a Google service account with Drive and Sheets APIs enabled. Download the service account JSON file as googleserviceaccount.json and place it in the project root. Create a Google Sheet named “MyTasks” and share it with the service account email. Install dependencies with uv add google-auth google-auth-oauthlib gspread mcp oauth2client. Finally, add the MCP server configuration to your Claude Desktop app using the command uv with the arguments shown in the README, pointing to the project’s main.py.
Install `google-auth`, `google-auth-oauthlib`, `gspread`, `mcp`, and `oauth2client` using `uv add` in your virtual environment.
Create a new Google Sheet named exactly “MyTasks”, then share it (with edit permissions) with the email address of your Google service account.
Add a JSON entry under `mcpServers` with the command `uv` and arguments `["--directory", "/path/to/your/project/mcp_server/", "run", "main.py"]`.
Download a service account JSON key file from the Google Cloud Console, rename it to `googleserviceaccount.json`, and place it in the root folder of the project.
Python 3 with a virtual environment. Create it with `python3 -m venv venv` and activate it (`source venv/bin/activate` on macOS, `venv\Scripts\activate` on Windows).

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