telegram-mcp
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- AlicenseAqualityBmaintenanceEnables use of a personal Telegram account within MCP clients for reading and sending messages, searching chats, and managing media, all running locally.169 npmMIT
- AlicenseBqualityDmaintenanceEnables full access to your personal Telegram account via MCP, allowing reading, sending, and searching messages, managing chats, and retrieving user information through natural language commands.1854 npm4MIT
- FlicenseNot gradedqualityBmaintenanceRead-only MCP access to a personal Telegram account. Allows querying chats, reading and searching messages via Streamable HTTP.-
- AlicenseNot gradedqualityAmaintenanceExposes a Telegram user account via MCP, enabling AI agents to send, read, and manage messages, chats, and media using full MTProto access through Telethon. It wraps Telethon behind a JSON HTTP API and MCP endpoint, allowing agents to interact with Telegram as the authenticated user.3Do What The F*ck You Want To Public
- FlicenseNot gradedqualityBmaintenanceEnables AI agents to control a real Telegram user account via MTProto, allowing message sending, chat reading/searching, and message management through MCP tools.39 npm-
- FlicenseBqualityCmaintenanceEnables MCP clients to interact with Telegram user accounts, providing tools for messaging, contacts, groups, channels, and media management through the Telegram API.853-
TDQS
Scored across 70 tools
Many tools overlap in purpose (e.g., tg_notify/tg_mute/tg_alert for notifications; tg_history/tg_message/tg_export/tg_unread for reading messages), and the large number of tools makes selection harder. Detailed descriptions help, but an agent could easily pick the wrong tool when multiple cover similar actions.
All tools share the tg_ prefix, but beyond that the naming is erratic: bare verbs (tg_send), bare nouns (tg_contacts), verb_noun (tg_send_file), and noun_verb (tg_chat_edit) are mixed without a clear convention. The inconsistent action-object order makes patterns unpredictable.
With 70 tools, this server is extremely heavy. Even for a comprehensive Telegram client, 70 is far beyond the typical well-scoped range (3-15) and likely to overwhelm agents, increasing selection errors and processing costs.
The tool surface is remarkably comprehensive, covering messaging, media, scheduling, folders, admin, accounts, stories, bots, search, translation, and moderation. It supports nearly every Telegram workflow an agent might need, with only minor gaps like profile editing.