benitomartin/gmail-telegram-mcp-server
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The Model Context Protocol (MCP) server facilitates seamless integration between different platforms, enabling efficient communication and data exchange.
Gmail Telegram MCP Server

Table of Contents
Overview
Gmail Telegram MCP Server is a Python project that connects Gmail and Telegram using a Model Context Protocol (MCP) server.
It allows to interact with Gmail emails via a Telegram bot. The following commands are available:
- /start - Start interaction with the bot
- /summary_today - Quick text summary of today's emails
- /audio_today - Quick audio summary of today's emails
- /summary - Smart agent; decides timeframe & format (text/audio/both)
You can read the article about this project in my Substack Newsletter:
Project Structure
├── Makefile
├── pyproject.toml
├── pre-commit-config.yaml
├── README.md
├── run_bot.py
├── uv.lock
├── src/
│ └── voice_agent/
│ ├── config.py # Configuration settings
│ ├── client/ # Client-side code
│ │ └── agent.py # Voice agent client
│ ├── host/
│ │ └── bot.py # Telegram bot
│ ├── server/
│ │ ├── gmail_server.py # Gmail server logic
│ │ ├── prompts/
│ │ │ ├── email_prompts.py # Email-related prompts
│ │ │ └── prompt_calls.py # Prompt call definitions
│ │ └── tools/
│ │ ├── get_emails.py # Email retrieval tool
│ │ └── tts_reply.py # Text-to-speech tool
│ └── utils/
│ ├── email_parser_util.py # Email parsing utilities
│ ├── gmail_auth_util.py # Gmail authentication utilities
│ ├── logger_util.py # Logging utilities
│ └── openai_utils.py # OpenAI API utilities
├── test/ # Unit/Integration tests
Prerequisites
- Python 3.12
- uv (for environment and package management)
- Google Cloud Project
- Telegram Bot with a bot token
- OpenAI API key
Environment Variables
Create a .env file in the root directory with the following variables:
TELEGRAM__BOT_TOKEN=your_bot_token
OPENAI__API_KEY=your_openai_api
OPENAI__MODEL=gpt-4o-mini
GOOGLE__CLIENT_ID=your_client_id
GOOGLE__CLIENT_SECRET=your_client_secret
GOOGLE__APPLICATION_CREDENTIALS=path_to_your_credentials.json
GOOGLE__SCOPES='["https://www.googleapis.com/auth/gmail.readonly"]'
GOOGLE__REDIRECT_URIS='["http://localhost"]'
GOOGLE__AUTH_URI=https://accounts.google.com/o/oauth2/auth
GOOGLE__TOKEN_URI=https://oauth2.googleapis.com/token
Additionally, after the first authentication, this token will be generated and added automatically to the .env file to make the session persistent:
GOOGLE__GMAIL_TOKEN=your_gmail_token
Installation
- Clone the repository:
git clone git@github.com:benitomartin/gmail-telegram-mcp-server.git
cd gmail-telegram-mcp-server
-
Create a virtual environment:
uv venv -
Activate the virtual environment:
source .venv/bin/activate -
Install the required packages:
uv sync --all-groups -
Create a
.envfile in the root directory:cp env.example .env
Usage
Configuration
Configure API keys, model names, and other settings in:
src/voice_agent/config.py.envfile
Google Cloud Project Setup
-
Create a Google Cloud Project.
-
Enable the Gmail API and Cloud Text-to-Speech API for your project.
-
Under "APIs & Services" > "OAuth consent screen", create your app (external) and configure the necessary scopes.
- Add the following scopes (also in the
.envfile):https://www.googleapis.com/auth/gmail.readonly
- Add the following scopes (also in the
-
Add your email address as an authorized tests user.
-
Create OAuth 2.0 credentials (application type: Desktop App) and copy the client ID and secret to your
.envfile. -
Run the following command to set the
GOOGLE__APPLICATION_CREDENTIALSvariable. Add the path of the credentials JSON file to the.envfile. In Linux/Ubuntu is under/home/user/.config/gcloud/application_default_credentials.jsongcloud auth application-default login
Modules
- Voice Agent: Handles voice interactions and agent logic.
- Client: Contains the agent for client-side operations.
- Host: Telegram bot integration.
- Server: Gmail server logic, prompt management, and tools for email and TTS.
- Utils: Utilities for email parsing, Gmail authentication, logging, and OpenAI integration.
Run the Telegram bot
uv run run_bot.py
Testing
Run all tests:
make tests
Quality Checks
Run all quality checks (lint, format, type check, clean):
make all
Individual Commands:
-
Display all available commands:
make help -
Check code formatting and linting:
make all-check -
Fix code formatting and linting:
make all-fix -
Clean cache and build files:
make clean
License
This project is licensed under the MIT License - see the file for details.