telegram-mcp
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Alternatives to telegram-mcp
No user-submitted related servers found.
Related Servers
- FlicenseNot gradedqualityCmaintenanceEnables users to interact with their own Telegram account through MTProto, supporting chat listing, message reading and searching, sending messages, and fetching contacts via MCP tools.-
- AlicenseBqualityCmaintenanceEnables MCP clients to operate a Telegram account as a userbot, providing tools for reading and sending messages, searching chats and contacts, managing media, and performing other account actions via MTProto with a locally encrypted session.28MIT
- AlicenseAqualityCmaintenanceEnables local, privacy-first control of a personal Telegram account through MCP, using TDLib to read chats, send and reply to messages, search, transfer files, and interact with approved inline buttons.20MIT
- FlicenseBqualityBmaintenanceProvides full access to a personal Telegram account via MTProto, enabling MCP clients to read chats, send messages, manage media, and more.70-
- AlicenseNot gradedqualityBmaintenanceEnables MCP clients to drive a real Telegram account, exposing chats, messages, media, secret chats, admin rights, invite links, Mini Apps, and multi-account routing as callable tools.1GPL 3.0
- 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.1832 npm3MIT
TDQS
Scored across 16 tools
Each tool has a distinct purpose: account identity, chat listing/searching by scope, messaging, file/media operations, read status, and style profiling. No two tools overlap in function; searching is divided by scope (own chats, public channels, public posts) to avoid ambiguity.
Most tools follow verb_noun snake_case pattern (list_chats, search_messages, send_file). 'whoami' is a minor deviation as a single word command. Overall consistent and predictable.
With 16 tools, the set covers the core Telegram operations without being overly large. The count is slightly above the typical 3-15 range but still well-scoped for a messaging server that includes a style profiling subsystem.
The tool surface covers listing, searching, sending, reading, and style profiling. However, common CRUD operations like message editing, deletion, reactions, and chat management (create/leave/mute) are missing, which agents might need.