Telegram

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.

- 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)

Here are some example prompts you can use with AI assistants:

- "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"

- "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"

Note:The commands below install to/usr/local/bin. To install elsewhere, replace/usr/local/binwith your preferred directory in your PATH.

First, download the archive for your architecture:

# For Intel Mac (x86_64) curl -L -o telegram-mcp.tar.gz https://github.com/chaindead/telegram-mcp/releases/latest/download/telegram-mcp_Darwin_x86_64.tar.gz # For Apple Silicon (M1/M2) curl -L -o telegram-mcp.tar.gz https://github.com/chaindead/telegram-mcp/releases/latest/download/telegram-mcp_Darwin_arm64.tar.gz

# Extract the binary sudo tar xzf telegram-mcp.tar.gz -C /usr/local/bin # Make it executable sudo chmod +x /usr/local/bin/telegram-mcp # Clean up rm telegram-mcp.tar.gz

Note:The commands below install to/usr/local/bin. To install elsewhere, replace/usr/local/binwith your preferred directory in your PATH.

First, download the archive for your architecture:

# For x86_64 (64-bit) curl -L -o telegram-mcp.tar.gz https://github.com/chaindead/telegram-mcp/releases/latest/download/telegram-mcp_Linux_x86_64.tar.gz # For ARM64 curl -L -o telegram-mcp.tar.gz https://github.com/chaindead/telegram-mcp/releases/latest/download/telegram-mcp_Linux_arm64.tar.gz

# Extract the binary sudo tar xzf telegram-mcp.tar.gz -C /usr/local/bin # Make it executable sudo chmod +x /usr/local/bin/telegram-mcp # Clean up rm telegram-mcp.tar.gz

- Download the latest release for your architecture:

go install github.com/chaindead/telegram-mcp@latest

Before you can use the server, you need to connect to the Telegram API.
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Note:If you have 2FA enabled: add --password <2fa_password>

Note:If you want to override existing session: add --new

telegram-mcp auth --app-id <your-api-id> --api-hash <your-api-hash> --phone <your-phone-number>

📩 Enter the code you received from Telegram to connect to the API.

Done! Please give this project a ⭐️ to support its development.

Example of Configuring Claude Desktop to recognize the Telegram MCP server.
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Open the Claude Desktop configuration file:

- in MacOS, the configuration file is located at~/Library/Application Support/Claude/claude_desktop_config.json
- in Windows, the configuration file is located at%APPDATA%\Claude\claude_desktop_config.json

Note:You can also find claude_desktop_config.json inside the settings of Claude Desktop app

{ "mcpServers": { "telegram": { "command": "telegram-mcp", "env": { "TG_APP_ID": "<your-app-id>", "TG_API_HASH": "<your-api-hash>", "PATH": "<path_to_telegram-mcp_binary_dir>", "HOME": "<path_to_your_home_directory" } } } }

{ "mcpServers": { "telegram-mcp": { "command": "telegram-mcp", "env": { "TG_APP_ID": "<your-app-id>", "TG_API_HASH": "<your-api-hash>" } } } }

Some MCP clients (e.g. VS Code) do not support JSON Schema Draft 2020-12 and will reject tools that use it. You can override the JSON Schema version by setting the--schema-versionflag or theTG_SCHEMA_VERSIONenvironment variable.

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