如何获取Access Token?
访问网站https://wuye-ai.cricbigdata.com/mcp 申请开通体验。
@wuye-ai
基本信息
CRIC物业AI MCP Server
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"CRIC物业AI": {
"command": "npx",
"args": [
"-y",
"@wuye-ai/mcp-server-wuye-ai"
],
"env": {
"CRIC_WUYE_AI_ACCESS_TOKEN": "<Your Access Token>"
},
"transportType": "stdio"
}
}
}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。
点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。
CRIC物业AI MCP Server是一个基于Model Context Protocol的服务端实现,由克而瑞为物业行业打造。它提供物业行业资讯日报和专属知识库搜索能力,帮助用户快速获取行业知识。
需先申请Access Token,然后通过SSE(官方URL或自行运行)或Stdio方式连接。SSE模式下在HTTP头或URL Query中传入Token;Stdio模式通过环境变量CRIC_WUYE_AI_ACCESS_TOKEN设置。支持base和detail两种功能集配置。
base和detail两种功能集访问网站https://wuye-ai.cricbigdata.com/mcp 申请开通体验。
支持SSE(HTTP)和Stdio两种方式,SSE可使用官方URL或自行运行。
包含法律法规、物业企业信息、克而瑞榜单、项目管理案例等十大类别。
需要Node.js环境,通过`npx -y @wuye-ai/mcp-server-wuye-ai`命令运行。
通过环境变量`CRIC_WUYE_AI_FEATURE_SET`或URL Query参数`feature_set`,取值`base`或`detail`。

Model Context Protocol Servers
PickFu MCP is a Model Context Protocol (MCP) server that connects AI assistants, developers, marketers, product managers, and AI agents to PickFu's consumer research platform. It enables users to create surveys, conduct
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable,
MCP Toolbox for Databases is an open source MCP server for databases.

See and control a real Windows PC you own — from any MCP client, locally or remotely. Observe (UIA + screenshots), click/type/drag/scroll, launch apps, owner Live View. BYOH: your machine, your key.
评论