tg-mcp
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- FlicenseNot gradedqualityAmaintenanceEnables AI assistants to read Telegram conversations, search messages, retrieve chat context, resolve recipients, and send messages with delivery status.1-
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to search and act on Telegram conversations, groups, channels, files, and links, with semantic search, AI-powered knowledge extraction, human-in-the-loop approvals, and PostgreSQL/pgvector persistence.Apache 2.0
- AlicenseAqualityBmaintenanceConnect any AI agent to your personal Telegram messages through the official Business API, enabling message history search and draft replies with optional manual approval.718MIT
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TDQS
Scored across 15 tools
Most tools are clearly separated by action (chat_info vs list_chats, get_messages vs search_messages vs semantic_search), but draft_message/draft_edit/draft_delete and outbox_cancel/outbox_list/outbox_status could cause some confusion for agents, though descriptions clarify the distinctions.
The naming follows a consistent verb_noun pattern (list_chats, get_messages, search_messages, draft_message, outbox_list). Minor deviations like chat_info and message_context use noun phrases instead of verb_noun, but the pattern is mostly predictable.
15 tools is within the well-scoped range for a Telegram MCP server covering chat browsing, search, media processing, and message drafting. Each tool serves a distinct function in the workflow.
The server covers chat listing, message retrieval, search, semantic search, backfill, media fetching, and the full draft/send/edit/delete lifecycle. Minor gaps like sending direct messages without owner confirmation or managing chats are absent, but the core domain is well covered.