telegram-mcp-cli
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Alternatives to telegram-mcp-cli
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- AlicenseNot gradedqualityCmaintenanceEnables AI assistants to directly control a personal Telegram account via MTProto, providing access to chats, messages, search, and account management features.MIT
- AlicenseNot gradedqualityCmaintenanceEnables AI assistants to control a personal Telegram account for sending/reading messages, media, group management, and more via the MTProto API.MIT
- AlicenseNot gradedqualityBmaintenanceEnables AI coding agents to read your own Telegram account via MTProto, including listing chats, searching and reading message history, resolving chats, and downloading attachments, with sending available only when explicitly enabled.MIT
- FlicenseNot gradedqualityDmaintenanceEnables AI agents to control a real Telegram user account via MTProto, allowing message sending, chat reading/searching, and message management through MCP tools.15 npm-
- AlicenseNot gradedqualityCmaintenanceGives an AI assistant full control of a real Telegram user account over MTProto, enabling it to read chats, search history, send and manage messages, and dynamically create new tools as needed.MIT
- AlicenseNot gradedqualityCmaintenanceEnables AI assistants to read chats, Saved Messages, files and media, search history, and send messages through your personal Telegram account.3MIT
TDQS
Scored across 13 tools
Most tools have clearly distinct purposes: send is for text, send_file for files, and read-side tools like list_chats, get_chat, history, and search differ by scope. Minor overlap exists between send/send_file and history/search, but the descriptions resolve it well.
Names mix bare verbs (send, edit, delete, forward, resolve), verb_noun forms (download_media, send_file, list_chats, get_chat, mark_read), and a noun/whoami. All are lowercase and readable, but there is no single consistent pattern.
13 tools is well within the ideal range and each maps to a distinct Telegram operation. The set feels scoped and no tool appears to be filler.
Core messaging lifecycle is covered: identity, resolution, reading, sending, editing, deleting, forwarding, media, and read marking. Minor gaps remain for reply threading, chat/group management, or contact operations, but core agent workflows are supported.