CSUST-GOT
by csusters
A multi-functional Telegram bot developed in Go with AI chat and MCP support.
What it does
CSUST-GOT is a comprehensive Telegram bot that integrates AI chat conversations, image generation via Stable Diffusion, and search capabilities. It leverages the Model Context Protocol (MCP) to extend its utility within AI ecosystems.
Tools
chat: Conversational AI interface.think: Deep thinking mode for complex queries.summary: Summarizes replied content.google/bing/github: Web and repository search tools.sd: Image generation using Stable Diffusion.search: Search through message history via MeiliSearch.
Installation
Deploy via Docker Compose for full functionality (requires Redis and MeiliSearch):
docker-compose up -d
Supported hosts
- claude
Quick install
docker-compose up -dInformation
- Pricing
- free
- Published
- 7/23/2026
- stars
- 0
Categories
Choose your AI client and follow the steps below.
Claude Desktop
Configure via Docker deployment as per the repository's instructions.Related Apps
Scira
MCP AppOpen-source agentic AI search engine with 17 search modes, 28 tools, and full inline citations — self-hostable Perplexity alternative.
Telegram MCP
MCP ServerBridge your AI assistant to the Telegram API for managing chats, messages, and drafts.
MCP Email Server
MCP ServerRead, search, organize, and send emails via IMAP and SMTP through a unified MCP interface.
Lobe Chat Pro
MCP ServerEnhanced Lobe Chat with infinite canvas for AI image/video generation, user management, billing, and multi-model creative panels.
Readwise MCP (Legacy)
MCP ServerLegacy MCP server for Readwise highlights and Reader data — now deprecated in favour of the hosted version.
MCP Gemini Search
MCP ServerConnect Gemini 2.5 Pro to flight search tools via Model Context Protocol for natural language travel queries.
Taskmeow
MCP AppMinimalist enterprise todo list app with drag-and-drop, Teams/Slack integration, and MCP-powered interactive UI
Jensenify MCP
MCP ServerInject ~2.9M tokens of canonical Western literature into every AI interaction for deep humanistic context on engineering decisions.