mcpField
G
Gmail Server for Model Context Protocol (MCP)

Gmail Server for Model Context Protocol (MCP)

Local
github.com/jasonsumCommunication72Updated 91w ago

About Gmail Server for Model Context Protocol (MCP)

A Gmail MCP server that lets MCP clients read, send, trash and respond to emails through the Gmail API. It suits users who want an AI assistant to handle their mail. The client prompts the user before sending or removing email.

Key features

  1. 01Send email and return status with message ID
  2. 02Retrieve unread emails and individual email content
  3. 03Move emails to trash or mark them as read
  4. 04Open a specific email in the default browser

Use cases

  1. 01Letting an AI assistant summarize and reply to unread email
  2. 02Composing and sending email from an MCP client
  3. 03Clearing out an inbox as part of a mail workflow

MCP support

This is an MCP server that exposes tools such as send-email, trash-email and get-unread-emails to MCP clients.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"gmail-mcp-server-jasonsum": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/inspector"
]
}
}
}
Run commandnpx -y @modelcontextprotocol/inspector

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npm@modelcontextprotocol/inspector

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

Gmail Server for Model Context Protocol (MCP)

This MCP server integrates with Gmail to enable sending, removing, reading, drafting, and responding to emails.

Note: This server enables an MCP client to read, remove, and send emails. However, the client prompts the user before conducting such activities.

https://github.com/user-attachments/assets/5794cd16-00d2-45a2-884a-8ba0c3a90c90

Components

Tools
  • send-email

    • Sends email to email address recipient
    • Input:
      • recipient_id (string): Email address of addressee
      • subject (string): Email subject
      • message (string): Email content
    • Returns status and message_id
  • trash-email

    • Moves email to trash
    • Input:
      • email_id (string): Auto-generated ID of email
    • Returns success message
  • mark-email-as-read

    • Marks email as read
    • Input:
      • email_id (string): Auto-generated ID of email
    • Returns success message
  • get-unread-emails

    • Retrieves unread emails
    • Returns list of emails including email ID
  • read-email

    • Retrieves given email content
    • Input:
      • email_id (string): Auto-generated ID of email
    • Returns dictionary of email metadata and marks email as read
  • open-email

    • Open email in browser
    • Input:
      • email_id (string): Auto-generated ID of email
    • Returns success message and opens given email in default browser

Setup

Gmail API Setup
  1. Create a new Google Cloud project
  2. Enable the Gmail API
  3. Configure an OAuth consent screen
    • Select "external". However, we will not publish the app.
    • Add your personal email address as a "Test user".
  4. Add OAuth scope https://www.googleapis.com/auth/gmail/modify
  5. Create an OAuth Client ID for application type "Desktop App"
  6. Download the JSON file of your client's OAuth keys
  7. Rename the key file and save it to your local machine in a secure location. Take note of the location.
    • The absolute path to this file will be passed as parameter --creds-file-path when the server is started.
Authentication

When the server is started, an authentication flow will be launched in your system browser. Token credentials will be subsequently saved (and later retrieved) in the absolute file path passed to parameter --token-path.

For example, you may use a dot directory in your home folder, replacing [your-home-folder].:

ParameterExample
--creds-file-path/[your-home-folder]/.google/client_creds.json
--token-path/[your-home-folder]/.google/app_tokens.json
Usage with Desktop App

Using uv is recommended.

To integrate this server with Claude Desktop as the MCP Client, add the following to your app's server configuration. By default, this is stored as ~/Library/Application\ Support/Claude/claude_desktop_config.json.

{
  "mcpServers": {
    "gdrive": {
      "command": "uv",
      "args": [
        "--directory",
        "[absolute-path-to-git-repo]",
        "run",
        "gmail",
        "--creds-file-path",
        "[absolute-path-to-credentials-file]",
        "--token-path",
        "[absolute-path-to-access-tokens-file]"
      ]
    }
  }
}

The following parameters must be set

ParameterExample
--directoryAbsolute path to gmail directory containing server
--creds-file-pathAbsolute path to credentials file created in Gmail API Setup.
--token-pathAbsolute path to store and retrieve access and refresh tokens for application.
Troubleshooting with MCP Inspector

To test the server, use MCP Inspector. From the git repo, run the below changing the parameter arguments accordingly.

npx @modelcontextprotocol/inspector uv run [absolute-path-to-git-repo]/src/gmail/server.py --creds-file-path [absolute-path-to-credentials-file] --token-path [absolute-path-to-access-tokens-file]

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.