@yt0912iii
基本信息
一個基於 Model Context Protocol (MCP) 的智慧客服 RAG 伺服器。本工具允許 AI 客戶端（如 Cursor、Claude Desktop）透過標準化 Tool 呼叫直接檢索平台的操作說明、常見問題與遊客須知知識庫。具備嚴格的防瞎掰機制，查無資料時誠實告知，確保 AI 客服回答的百分之百準確性。
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"nanobot-customer-service": {
"command": "python",
"args": [
"mcp_server.py"
],
"env": {
"PYTHONUNBUFFERED": "1"
}
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
Add Nanobot Customer Service is a Model Context Protocol (MCP) server built with Python and FastMCP. It transforms local knowledge base documents (RAG system) into standardized AI tools that can be called directly by AI clients such as Cursor and Claude Desktop, enabling accurate retrieval of platform operation information.
Add the provided JSON configuration snippet to your AI client’s configuration file, adjusting the Python and script absolute paths as needed. The server runs the mcp_server.py script and exposes a search_customer_service_docs tool.
search_customer_service_docsIt searches the knowledge base for platform usage information, frequently asked questions, and customer service documents. AI must call this tool when users ask about platform operations or visitor guidelines.
Add the JSON configuration shown in the README to your AI client’s `mcpServers` section, specifying the path to `mcp_server.py` and a Python interpreter.
Yes, it includes strict anti-hallucination guardrails. If no matching document is found, the tool will honestly report that no information is available rather than guessing.
The server requires Python and the FastMCP library, as it is built on the FastMCP architecture.
The server is designed for MCP-compatible clients such as Cursor and Claude Desktop.
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