Google Workspace MCP Server
Enables sending emails, drafting emails, and appending text to Google Docs via MCP tools.
README
Google Workspace MCP Server (Gmail + Google Docs)
A Model Context Protocol (MCP) server that exposes Google Workspace capabilities — specifically Gmail and Google Docs — as standardized MCP tools.
Features
send_email: Send an email immediately via the authenticated Gmail account.draft_email: Create a draft in the authenticated Gmail account without sending.append_to_google_doc: Append text content to the end of an existing Google Doc.
Setup Instructions
1. Google Cloud Project Setup
- Go to the Google Cloud Console.
- Create a new project or select an existing one.
- Navigate to APIs & Services > Library.
- Search for and enable the Gmail API and Google Docs API.
- Navigate to APIs & Services > OAuth consent screen.
- Configure the consent screen (External or Internal).
- Add the following scopes:
https://www.googleapis.com/auth/gmail.sendhttps://www.googleapis.com/auth/gmail.composehttps://www.googleapis.com/auth/documents
- Add your email address as a Test User if your app is in testing mode.
- Navigate to APIs & Services > Credentials.
- Click Create Credentials > OAuth client ID.
- Choose Desktop app as the application type.
- Click Create.
- Download the JSON file and rename it to
credentials.json. Place it in the root of this project.
2. Environment Setup
- Copy
.env.exampleto.env(optional, as defaults are used if not provided). - Install the project dependencies:
pip install -e .
3. First Run (Authentication)
Before an MCP client can use the server, you must authenticate it manually to generate the token.json file.
Run the server directly:
gmail-docs-mcp
This will open a browser window asking you to log in with your Google account and grant the requested permissions. Once completed, a token.json file will be created. You can then stop the server (Ctrl+C).
4. MCP Client Configuration
Configure your MCP client (e.g., Claude Desktop) to run this server. Add the following to your MCP client's configuration file:
{
"mcpServers": {
"google-workspace": {
"command": "gmail-docs-mcp",
"env": {
"GOOGLE_CREDENTIALS_PATH": "/absolute/path/to/credentials.json",
"GOOGLE_TOKEN_PATH": "/absolute/path/to/token.json"
}
}
}
}
Note: Make sure to use absolute paths for the credentials and token files.
Testing
Run unit tests with pytest:
pip install -e ".[dev]"
pytest
Manual Smoke-Test Checklist
- Send test email: Invoke
send_emailwith your own email address to verify receipt. - Create draft: Invoke
draft_emailand check your Gmail Drafts folder. - Append to a doc: Create a test Google Doc, copy its URL or ID, and invoke
append_to_google_doc. Check the document to verify the text was appended at the end.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.