The server is a bridge between the Telegram API and the AI assistants and is based on the Model Context Protocol.
[!IMPORTANT]
Ensure that you have read and understood the Telegram API Terms of Service before using this server.
Any misuse of the Telegram API may result in the suspension of your account.
Table of Contents
What is MCP?
What does this server do?
Installation
Configuration
Star History
What is MCP?
The Model Context Protocol (MCP) is a system that lets AI apps, like Claude Desktop or Cursor, connect to external tools and data sources. It gives a clear and safe way for AI assistants to work with local services and APIs while keeping the user in control.
What does this server do?
Capabilities
Get current account information (tool: tg_me)
List dialogs with optional unread filter (tool: tg_dialogs)
Mark dialog as read (tool: tg_read)
Retrieve messages from specific dialog (tool: tg_dialog)
Send draft messages to any dialog (tool: tg_send)
Prompt examples
Here are some example prompts you can use with AI assistants:
Message Management
"Check for any unread important messages in my Telegram"
"Summarize all my unread Telegram messages"
"Read and analyze my unread messages, prepare draft responses where needed"
"Check non-critical unread messages and give me a brief overview"
Organization
"Analyze my Telegram dialogs and suggest a folder structure"
"Help me categorize my Telegram chats by importance"
"Find all work-related conversations and suggest how to organize them"
Communication
"Monitor specific chat for updates about [topic]"
"Draft a polite response to the last message in [chat]"
"Check if there are any unanswered questions in my chats"
Installation
Homebrew
You can install a binary release on macOS/Linux using brew:
NPX
You can run the latest version directly using npx (supports macOS, Linux, and Windows):
When using NPX, modify the standard commands and configuration as follows:
Authentication command becomes:
Claude MCP server configuration becomes:
For complete setup instructions, see Authorization and Client Configuration.
From Releases
MacOS
Note: The commands below install to /usr/local/bin. To install elsewhere, replace /usr/local/bin with your preferred directory in your PATH.
First, download the archive for your architecture:
Then install the binary:
Linux
Note: The commands below install to /usr/local/bin. To install elsewhere, replace /usr/local/bin with your preferred directory in your PATH.
First, download the archive for your architecture:
Then install the binary:
Windows
Windows
Download the latest release for your architecture:
Extract the .zip file
Add the extracted directory to your PATH or move telegram-mcp.exe to a directory in your PATH
From Source
Requirements:
Go 1.24 or later
GOBIN in PATH
Configuration
Authorization
Before you can use the server, you need to connect to the Telegram API.
The server is a bridge between the Telegram API and the AI assistants and is based on the Model Context Protocol.
[!IMPORTANT]
Ensure that you have read and understood the Telegram API Terms of Service before using this server.
Any misuse of the Telegram API may result in the suspension of your account.
Table of Contents
What is MCP?
What does this server do?
Installation
Configuration
Star History
What is MCP?
The Model Context Protocol (MCP) is a system that lets AI apps, like Claude Desktop or Cursor, connect to external tools and data sources. It gives a clear and safe way for AI assistants to work with local services and APIs while keeping the user in control.
What does this server do?
Capabilities
Get current account information (tool: tg_me)
List dialogs with optional unread filter (tool: tg_dialogs)
Mark dialog as read (tool: tg_read)
Retrieve messages from specific dialog (tool: tg_dialog)
Send draft messages to any dialog (tool: tg_send)
Prompt examples
Here are some example prompts you can use with AI assistants:
Message Management
"Check for any unread important messages in my Telegram"
"Summarize all my unread Telegram messages"
"Read and analyze my unread messages, prepare draft responses where needed"
"Check non-critical unread messages and give me a brief overview"
Organization
"Analyze my Telegram dialogs and suggest a folder structure"
"Help me categorize my Telegram chats by importance"
"Find all work-related conversations and suggest how to organize them"
Communication
"Monitor specific chat for updates about [topic]"
"Draft a polite response to the last message in [chat]"
"Check if there are any unanswered questions in my chats"
Installation
Homebrew
You can install a binary release on macOS/Linux using brew:
NPX
You can run the latest version directly using npx (supports macOS, Linux, and Windows):
When using NPX, modify the standard commands and configuration as follows:
Authentication command becomes:
Claude MCP server configuration becomes:
For complete setup instructions, see Authorization and Client Configuration.
From Releases
MacOS
Note: The commands below install to /usr/local/bin. To install elsewhere, replace /usr/local/bin with your preferred directory in your PATH.
First, download the archive for your architecture:
Then install the binary:
Linux
Note: The commands below install to /usr/local/bin. To install elsewhere, replace /usr/local/bin with your preferred directory in your PATH.
First, download the archive for your architecture:
Then install the binary:
Windows
Windows
Download the latest release for your architecture:
Extract the .zip file
Add the extracted directory to your PATH or move telegram-mcp.exe to a directory in your PATH
From Source
Requirements:
Go 1.24 or later
GOBIN in PATH
Configuration
Authorization
Before you can use the server, you need to connect to the Telegram API.