What are the dependencies or runtime requirements?
The server requires Python and the `uv` package manager (or `pip`). It uses the MCP standard protocol and connects to a Feishu webhook and a WebSocket server.
@byom
Basic information
No overview available yet
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcp_server_send_to_feishu": {
"command": "uv",
"args": [
"venv"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
MCP Send to Feishu Server is a Model Context Protocol server that sends notifications to Feishu (Lark) and WebSocket when agent tasks are completed. It also logs all notifications to a local file. It is designed for users of LLM clients that support MCP, such as Claude Desktop and Cursor.
Install the server via uv or pip, then configure it in your LLM client’s MCP settings (e.g., claude_desktop_config.json or .cursor/mcp.json). After configuration, add a prompt like finally, send me a notification when task finished. at the end of your task to trigger notifications.
The server requires Python and the `uv` package manager (or `pip`). It uses the MCP standard protocol and connects to a Feishu webhook and a WebSocket server.
Notifications are logged to a local file named `notifications.log` in JSON format, containing the title, message, and timestamp.
The server is pre-configured with a Feishu webhook URL (`https://www.feishu.cn/***`). No custom webhook setup is described in the README.
The server connects by default to `ws://localhost:8765`.
The README does not mention any authentication mechanisms. The server uses standard MCP stdio transport as shown in the Claude Desktop and Cursor configuration examples.

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