telegram-mcp
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- AlicenseNot gradedqualityDmaintenanceEnables AI assistants like Claude to read, search, and send messages through your personal Telegram account via MCP tools.MIT
- AlicenseNot gradedqualityCmaintenanceLets any MCP-compatible AI agent read, search, and send Telegram messages through your real account via MTProto.44 npm1MIT
- FlicenseNot gradedqualityCmaintenanceEnables AI agents to control a real Telegram user account via MTProto, allowing message sending, chat reading/searching, and message management through MCP tools.33 npm-
- AlicenseNot gradedqualityCmaintenanceEnables AI agents to interact with Telegram accounts through MCP, supporting messaging, contacts, groups, media, and admin functions.4Apache 2.0
- AlicenseNot gradedqualityDmaintenanceEnables AI assistants to interact with Telegram accounts, chats, messages, media, and more via MCP, using Telethon.Apache 2.0
- AlicenseNot gradedqualityCmaintenanceEnables AI agents to interact with a personal Telegram account via MCP, offering tools for reading and searching chats, summarizing unread messages, sending and editing messages, handling files and voice transcripts, and managing groups and channels, with read-only mode by default.Apache 2.0
TDQS
Scored across 54 tools
Several tools have unclear boundaries, especially message retrieval: read_messages, get_new_messages, and today_messages all return messages with different scoping, while search_messages and search_regex overlap and export_chat/export_cached_messages are near-duplicates. download_media/download_chat_media and get_dialogs_stats/list_chats add further ambiguity.
The vast majority of tools follow a clean verb_noun snake_case pattern, such as send_message, create_channel, get_participants, and set_chat_title. A few tools like chat_analytics, message_timeline, and today_messages break the verb-first convention, and the use of both 'dialogs' and 'chats' is inconsistent.
54 tools is far beyond the well-scoped 3-15 range and lands in the 50+ extreme category. The surface feels bloated with overlapping retrieval, export, and analytics tools that could be consolidated.
Core Telegram workflows are well covered: messaging, scheduling, reactions, media, chat/group/channel lifecycle, participant management, contacts, admin logs, and local analytics. Gaps like forum-topic creation, scheduled-message deletion, and contact write operations are workaround-able rather than fatal.