Telegram Community MCP
Related Servers
Alternatives to Telegram Community MCP
No user-submitted related servers found.
Related Servers
- AlicenseBqualityCmaintenanceEnables searching and browsing of Claude conversation history with hybrid search combining full-text, Spotlight, and optional vector embeddings.101MIT
- AlicenseAqualityDmaintenanceEnables reading and searching Telegram channel/group/DM messages from Claude Code using MTProto for full message history access.529 npmMIT
- AlicenseAqualityDmaintenanceSemantic search across Claude Code conversations. Hybrid vector + keyword search, fully local, background indexing.678 npm8MIT
- AlicenseNot gradedqualityCmaintenanceEnables hybrid retrieval-augmented generation with semantic and keyword search over documents, supporting multiple formats and providing MCP integration for Claude Desktop.MIT
- AlicenseAqualityAmaintenanceEnables local semantic search over documents and code for Claude Code and Claude Desktop, running entirely offline with local embeddings and vector storage.1492 PyPI5MIT
- 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
TDQS
Scored across 5 tools
Each tool targets a distinct operation: sync ingests messages, get_stats reports index metrics, search queries messages, get_context expands a thread, and list_chats enumerates chats. Search and get_context both retrieve messages but are clearly differentiated (query vs. thread expansion around a known message). No meaningful overlap.
Three tools follow a clean verb_noun pattern (get_stats, get_context, list_chats), while sync and search are bare verbs. This is a minor deviation but still readable and consistent in spirit (all lowercase snake_case).
Five tools is well within the ideal 3-15 range and each earns its place in the ingest-search-context lifecycle. Nothing is redundant or superfluous.
The read/index domain is well covered: sync, stats, search, thread context, and chat listing form a coherent lifecycle. Minor gaps exist (no fetch-by-message-ID, no chat add/remove or re-index management), but agents can work around these via search and list_chats.