What APIs are supported?
Gmail, Calendar, Drive, Tasks, YouTube, and Contacts (via Google People API) are supported.
@vakharwalad23
Basic information
Collection of Google-native tools (e.g., Gmail, Calendar) for the MCP
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"google-mcp-remote": {
"command": "bun",
"args": [
"run",
"deploy"
]
}
}
}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.
Google MCP Remote is a Cloudflare Workers–based MCP (Model Context Protocol) server that provides Google API tools (Gmail, Calendar, Drive, Tasks, YouTube, Contacts) for use with AI clients like Claude or Cursor. It requires deploying your own instance to keep your Google account data secure.
First, create a Google Cloud project and set up OAuth 2.0 credentials, then enable the required APIs. Deploy the server by cloning the repository, installing dependencies with Bun, configuring secrets (GOOGLE_OAUTH_CLIENT_ID, GOOGLE_OAUTH_CLIENT_SECRET, COOKIE_ENCRYPTION_KEY), creating a KV namespace, and running bun run deploy. Finally, configure your AI client by adding the server to its MCP configuration (e.g., claude_desktop_config.json) using the mcp-remote transport pointing to your deployment’s /sse endpoint.
Gmail, Calendar, Drive, Tasks, YouTube, and Contacts (via Google People API) are supported.
Clone the repository, install dependencies with Bun, set Google OAuth credentials and a cookie encryption key as Cloudflare secrets, create a KV namespace, update `wrangler.jsonc`, and run `bun run deploy`.
Add to your `claude_desktop_config.json` (or `mcp.json` for Cursor) a server entry with command `npx`, args `["mcp-remote", "https://your-project.your-username.workers.dev/sse"]`.
No. The README warns: “Do not use someone else’s deployed instance of this server as it requires access to your Google account and personal data.” Always deploy your own instance.
Create a `.dev.vars` file with the required environment variables, run `bun run dev` for a local server (usually at `http://localhost:8788`), and test with `bunx @modelcontextprotocol/inspector@latest`.
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