What permissions does the server request?
It requests four read-only scopes: `classroom.courses.readonly`, `classroom.announcements.readonly`, `classroom.coursework.me.readonly`, and `classroom.rosters.readonly`.
@faizan45640
Basic information
No overview available yet
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"google-classroom-mcp-server": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"@faizan45640/google-classroom-mcp-server",
"--client",
"claude"
]
}
}
}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.
Fetch the live tool list by running this server in a temporary sandbox using the button above.
Google Classroom MCP Server is an MCP (Model Context Protocol) server that provides access to Google Classroom data through Claude and other AI assistants that support the MCP protocol. It is designed for educators and students who want to interact with their Google Classroom courses, announcements, assignments, and submissions using natural language via AI assistants.
Install the server manually (Node.js v16+, Google Cloud Project with Classroom API enabled, OAuth 2.0 credentials in credentials.json) or via Smithery using npx -y @smithery/cli install. Run node index.js auth to authenticate and save tokens to tokens.json. Then configure your MCP client (e.g., Claude Desktop) by adding the server to claude_desktop_config.json. Use the provided tools such as courses, course-details, and assignments to query Google Classroom data.
It requests four read-only scopes: `classroom.courses.readonly`, `classroom.announcements.readonly`, `classroom.coursework.me.readonly`, and `classroom.rosters.readonly`.
Run `node index.js auth` again to refresh permissions. Ensure your Google account is added as a test user in the Google Cloud Console if the app is in testing mode, and verify the OAuth scopes in the `authenticateAndSaveCredentials` function.
Credentials are saved locally in the `tokens.json` file in the project root after authentication.
Yes, token refresh is handled automatically by the server.
Node.js version 16 or higher is required to run the server.

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