Telegram MCP Server
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Alternatives to Telegram MCP Server
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Related Servers
- AlicenseNot gradedqualityDmaintenanceMCP server that connects AI assistants to your real Telegram account via User API (MTProto). Features default-deny ACL with per-chat permissions, message search, file sending, forwarding, media downloads, and rate limiting.3MIT
- AlicenseAqualityBmaintenanceAn MCP server that gives AI agents full access to a personal Telegram account via MTProto, enabling chat reading, history search, messaging, media handling, and automations.79MIT
- FlicenseNot gradedqualityBmaintenanceMCP server that exposes a Telegram user account over HTTP, enabling message sending, dialog listing, history retrieval, and message search via tools like send_message and list_dialogs.-
- FlicenseNot gradedqualityDmaintenanceModel Context Protocol server for Telegram. Let AI read, search, send, and forward your Telegram messages.22 npm-
- AlicenseBqualityDmaintenanceA Telegram MCP server that connects agents to a real Telegram user account via MTProto, enabling reading, searching, sending, moderating, and managing Telegram chats through natural language or automated tool calls.10090 npm29MIT
- AlicenseNot gradedqualityBmaintenanceTelegram MTProto-based MCP server with 19 tools for reading, searching, sending, forwarding, and summarizing messagesMIT
TDQS
Scored across 8 tools
Each tool targets a distinct action: finding chats, reading/searching messages in one chat, searching globally, sending, editing, and fetching chat info. The two send tools are clearly separated by target (chat_id vs phone), and global search vs per-chat search is explicitly scoped.
Tool names mostly follow a clean verb_noun pattern in snake_case (get_messages, send_message, edit_message, get_chat_info). Minor deviations like search_messages_globally and send_message_to_phone add modifiers, but the pattern remains predictable and readable.
Eight tools is a well-scoped size for a Telegram MCP server. Each tool covers a meaningful capability without unnecessary fragmentation, and the low-level invoke_mtproto tool rounds out the surface without bloating it.
Core workflows are covered: finding chats, reading/searching messages, sending, editing, and getting chat info. Obvious gaps like message deletion or marking messages read are not wrapped, but invoke_mtproto provides an escape hatch, so agents are not entirely blocked.