tlgrm

tlgrm

Drives a personal Telegram account from the terminal or via MCP, enabling AI assistants to list chats, send/edit messages, fetch history, manage groups, and more with tiered read/write/destructive permissions.

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README

<div align="center">

tlgrm

An unofficial, feature-rich command-line client, MCP server, and webhook daemon for Telegram, built on Telethon.

Drive your personal Telegram account from the terminal — or from an AI assistant — and bridge incoming messages to an HTTP webhook in real time.

License: MIT Python Status: unofficial

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Unofficial app notice: tlgrm is an independent, unofficial client built on the Telegram API (via Telethon). It is not affiliated with, endorsed by, or sponsored by Telegram.


Features

  • Personal account — acts as you (MTProto user account, not a bot): read history, list members, message anyone you can.
  • 29 commands — send/reply/edit/delete, history & global search, reactions, forwarding, pin & mute, group management, scheduling, polls.
  • Clean JSON output — commands print JSON to stdout (logs go to stderr), so it pipes straight into jq and scripts.
  • Real-time webhooks + daemon — forward incoming messages to an HTTP endpoint, optionally as a systemd background service.
  • MCP servertlgrm-mcp lets AI assistants drive Telegram, read-only by default.
  • Speech-to-text — auto-transcribe incoming voice notes (multilingual, GPU-aware), or transcribe any file with tlgrm transcribe.

Quick start

# 1. Get your API credentials from my.telegram.org → API development tools
export TG_API_ID=1234567
export TG_API_HASH=your_api_hash_here

# 2. Install
pip install tlgrm          # CLI only
pip install "tlgrm[mcp]"   # + MCP server
pip install "tlgrm[stt]"   # + speech-to-text (faster-whisper)
pip install "tlgrm[all]"   # everything

# 3. Log in once
tlgrm login

# 4. Go
tlgrm chats --limit 10
tlgrm send --target @username --text "Hello!"
tlgrm chats | jq '.[].name'   # stdout is clean JSON; logs go to stderr

With uv: uv tool install "tlgrm[mcp]".


Telegram API credentials

tlgrm does not ship with API credentials — you must supply your own:

  1. Go to my.telegram.orgAPI development tools.
  2. Create an application (Platform: Desktop). The title must not contain the word "Telegram".
  3. Copy the api_id (a number) and api_hash (a hex string).
  4. Export them (add to your shell profile to persist):
export TG_API_ID=1234567
export TG_API_HASH=your_api_hash_here

See docs/configuration.md for all configuration options.


Commands (29)

Every command prints clean JSON to stdout — logs and progress go to stderr, so piping into jq works reliably.

Account & read

Command Description
tlgrm login Authenticate your Telegram account (interactive, one-time)
tlgrm whoami Show the logged-in account
tlgrm chats [--limit N] List recent chats/dialogs
tlgrm history --target T [--limit N] [--offset-id ID] Fetch message history
tlgrm search --query Q [--target T] [--limit N] Search messages globally or in a chat
tlgrm members --target T List members of a group or channel
tlgrm user-info --target T Show profile info for a user
tlgrm chat-info --target T Show info about a chat/channel
tlgrm download --target T --message-id ID [--output PATH] Download media from a message

Write

Command Description
tlgrm send --target T (--text … | --file …) [--caption …] [--voice] [--reply-to ID] [--silent] Send a message, file, media, or voice note
tlgrm reply --target T --message-id ID (--text … | --file …) [--caption …] [--voice] [--silent] Reply to a specific message
tlgrm edit --target T --message-id ID --text … Edit a sent message
tlgrm read --target T [--max-id ID] Mark a chat as read
tlgrm forward --from A --to B --message-ids ID … Forward messages between chats
tlgrm react --target T --message-id ID --emoji E [--big] React to a message
tlgrm pin --target T --message-id ID [--notify] Pin a message
tlgrm unpin --target T [--message-id ID] Unpin a message (or all)
tlgrm mute --target T [--duration SECONDS] Mute a chat
tlgrm unmute --target T Unmute a chat
tlgrm saved (--text … | --file …) [--caption …] [--voice] Send to Saved Messages

Groups, scheduling & advanced

Command Description
tlgrm create-group --title TITLE [--members …] [--channel] Create a group or channel
tlgrm add-members --target T --members … Add members to a group/channel
tlgrm remove-members --target T --members … Remove members from a group/channel
tlgrm leave --target T Leave a group or channel
tlgrm schedule --target T --text TEXT --at (SECONDS|ISO8601) Schedule a text message
tlgrm poll --target T --question Q --option A --option B … [--quiz --correct N] Send a poll or quiz
tlgrm transcribe --file PATH [--backend …] [--model …] Transcribe audio (no login required)

Webhook daemon

Command Description
tlgrm listen [--webhook-url URL] [--webhook-header "N: V"] [--verbose] Listen for incoming messages (foreground)
tlgrm daemon install|uninstall|status|logs Manage the background systemd daemon

Full reference with all flags, output shapes, and examples: docs/commands.md.


MCP server

tlgrm ships a stdio MCP server (tlgrm-mcp). It is read-only by default; add --allow-write for write tools and --allow-write --allow-destructive for delete/leave/remove.

{
  "mcpServers": {
    "tlgrm": {
      "command": "uvx",
      "args": ["--from", "tlgrm[mcp]", "tlgrm-mcp"],
      "env": { "TG_API_ID": "...", "TG_API_HASH": "..." }
    }
  }
}

Requires a prior tlgrm login. The MCP server reuses the same session file as the CLI.


Speech-to-text (optional)

Install the stt extra to auto-transcribe incoming voice notes in the webhook daemon, or to run tlgrm transcribe standalone (no login needed).

pip install "tlgrm[stt]"         # faster-whisper (default, recommended)
pip install "tlgrm[stt-whisper]" # original openai-whisper
pip install "tlgrm[stt-all]"     # all local backends

Cloud backends (openai, groq, deepgram, elevenlabs, google) need no extra package — just set the API key:

export OPENAI_API_KEY=sk-...   # auto-selects openai backend

Model tip: the default model is tiny (fast, lower accuracy). For good Arabic / multilingual accuracy, use a larger model:

export TG_STT_MODEL=large-v3-turbo   # recommended for Arabic

GPU: faster-whisper auto-detects NVIDIA GPUs (TG_STT_DEVICE=auto). CUDA 12 runtime required: pip install nvidia-cublas-cu12 nvidia-cudnn-cu12. Full backend reference: docs/configuration.md.


Security

  • Your session file (~/.tlgrm/tg_session.session) grants full account access — keep it private (git-ignored by default).
  • Enable Two-Step Verification on your Telegram account.
  • The systemd unit file is written owner-only (0600).

Troubleshooting

Symptom Fix
Telegram API credentials are not configured Export TG_API_ID and TG_API_HASH (see above)
Not authorized. Run 'tlgrm login' first. Run tlgrm login
Transcription never appears Install the stt extra and FFmpeg
systemctl not found The daemon needs systemd; use tlgrm listen directly
Cannot create an app at my.telegram.org Brand-new accounts are sometimes blocked; wait and retry
MCP tool not available Check the permission tier — write/destructive tools need explicit flags

Documentation

Guide What it covers
Getting Started Install, credentials, login, first message
Configuration All env vars, paths, STT backends
Command Reference Every command, flag, output shape
Webhook & Daemon Guide Webhooks, systemd, payload schema

Contributing & License

Contributions welcome — see CONTRIBUTING.md. Released under the MIT License © 2026 Ali Alrabeei. tlgrm is unofficial and not affiliated with, endorsed by, or sponsored by Telegram.

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