Telegram send video
tg_send_videoSend a video to a Telegram chat using a URL or base64 data. Optionally add a caption, cover image, or reply to a specific message.
Instructions
Send video via telegram bot
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| video | Yes | Video URL or base64 data URI (e.g., data:video/mp4;base64,... | |
| cover | No | Cover for the video in the message. Optional | |
| chat_id | No | Telegram chat id, Default to get from environment variables | |
| caption | No | Video caption, 0-1024 characters after entities parsing | |
| parse_mode | No | Mode for parsing entities in the caption. [text/MarkdownV2] | |
| reply_to_message_id | No | Identifier of the message that will be replied to |
Implementation Reference
- mcp_notify/tgbot.py:85-114 (handler)The tg_send_video function is the handler that sends a video via Telegram bot. It accepts video (URL or base64 data URI), cover, chat_id, caption, parse_mode, and reply_to_message_id. It handles base64 decoding for data URIs, then calls bot.send_video() and returns the result as JSON.
async def tg_send_video( video: str = Field(description="Video URL or base64 data URI (e.g., data:video/mp4;base64,..."), cover: str = Field("", description="Cover for the video in the message. Optional"), chat_id: str = Field("", description="Telegram chat id, Default to get from environment variables"), caption: str = Field("", description="Video caption, 0-1024 characters after entities parsing"), parse_mode: str = Field("", description=f"Mode for parsing entities in the caption. [text/MarkdownV2]"), reply_to_message_id: int = Field(0, description="Identifier of the message that will be replied to"), ): if parse_mode == TELEGRAM_MARKDOWN_V2: caption = telegramify_markdown.markdownify(caption) if video.startswith("data:"): match = re.match(r"data:video/([^;]+);base64,(.*)", video) if not match: return {"error": "Invalid base64 data URL format"} try: datas = base64.b64decode(match.group(2)) video = InputFile(io.BytesIO(datas), f"video.{match.group(1)}") except Exception as e: return {"error": f"Failed to decode base64: {str(e)}"} res = await bot.send_video( chat_id=chat_id or TELEGRAM_DEFAULT_CHAT, video=video, cover=cover or None, caption=caption or None, parse_mode=parse_mode if parse_mode in [TELEGRAM_MARKDOWN_V2] else None, reply_to_message_id=reply_to_message_id or None, ) return res.to_json() - mcp_notify/tgbot.py:85-91 (schema)The function signature uses Pydantic Field annotations that serve as the input schema/validation for the tool, defining types, defaults, and descriptions for video, cover, chat_id, caption, parse_mode, and reply_to_message_id.
async def tg_send_video( video: str = Field(description="Video URL or base64 data URI (e.g., data:video/mp4;base64,..."), cover: str = Field("", description="Cover for the video in the message. Optional"), chat_id: str = Field("", description="Telegram chat id, Default to get from environment variables"), caption: str = Field("", description="Video caption, 0-1024 characters after entities parsing"), parse_mode: str = Field("", description=f"Mode for parsing entities in the caption. [text/MarkdownV2]"), reply_to_message_id: int = Field(0, description="Identifier of the message that will be replied to"), - mcp_notify/tgbot.py:81-84 (registration)The tool is registered via the @mcp.tool() decorator with title 'Telegram send video' and description 'Send video via telegram bot'. This is inside the add_tools() function which is called from __init__.py.
@mcp.tool( title="Telegram send video", description="Send video via telegram bot", )