by sazonovanton · MCP Server · ★ 72
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SirChatalot A Telegram bot that proves you don't need a body to have a personality. It can use various text and image generation APIs to generate responses to user messages. For text generation, the bot can use: OpenAI's ChatGPT API (or other compatible API). Vision capabilities can be used with GPT-4 models. Function calling can be used with Function calling. Anthropic's Claude API. Vision capabilities can be used with Claude 3 models. Function calling can be used with tool use. YandexGPT API. Any other OpenAI compatible API. Bot can also generate images with: OpenAI's DALL-E Stability AI Yandex ART This bot can also be used to generate responses to voice and video messages. Bot will convert voice/video message to text and then it will generate a response. Optionally it can only generate audio/video transcript, without answering. Speech recognition is done using the OpenAI's [Whisper model](https
| Stars | 72 |
| Forks | 13 |
| Language | Python |
| Category | MCP Server |
| License | GPL-3.0 |
| Quality Score | 67.9739037561979/100 |
| Last Updated | 2026-08-07 |
| Created | 2023-03-01 |
| Platforms | browser, cli, mcp, python |
| Est. Tokens | ~22k |
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SirChatalot is A Telegram bot that proves you don't need a body to have a personality. Works with any OpenAI-compatible LLM; agentic tools, MCP, RAG over your files, memory, vision, voice and image generation.. It is categorized as a MCP Server with 72 GitHub stars.
SirChatalot is primarily written in Python. It covers topics such as agentic-ai, function-calling, mcp.
You can find installation instructions and usage details in the SirChatalot GitHub repository at github.com/sazonovanton/SirChatalot. The project has 72 stars and 13 forks, indicating an active community.
SirChatalot is released under the GPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to SirChatalot on Agent Skills Hub include ToolRegistry, rust-docs-mcp-server, MakerAi. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.