What is MCP?
MCP (Machine-Comprehensible Protocol) standardizes how AI Agents discover and invoke tool capabilities, enabling seamless integration between AI systems and services.
@dataeyesai
基本信息
暂无概览
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"dataeyes-mcp-server": {
"command": "uvx",
"args": [
"dataeyes-mcp-server"
],
"env": {
"DATAEYES_API_KEY": "YOUR_API_KEY"
}
}
}
}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。
Mymcp4 is an MCP service powered by DataEyes Intelligence that exposes tools like web content reading and internet search to enhance AI Agent capabilities. It provides a standardized protocol for communication between AI Agents and tools.
Obtain an API KEY from https://shuyanai.com, then either point your AI Agent to the hosted SSE endpoint (https://mcp.shuyanai.com/sse?key=YOUR_API_KEY) or install and run the server locally via uvx dataeyes-mcp-server after setting the DATAEYES_API_KEY environment variable.
MCP (Machine-Comprehensible Protocol) standardizes how AI Agents discover and invoke tool capabilities, enabling seamless integration between AI systems and services.
Yes, an API KEY is required to use the DataEyes services. You can obtain one by registering at https://shuyanai.com.
Two tools are available: `reader` (accesses a web page URL and returns clean Markdown content) and `search` (searches the internet and returns relevant web page summaries). Both accept configurable parameters like `url`, `timeout`, `q`, and `num`.
Install via `uvx dataeyes-mcp-server` after setting the `DATAEYES_API_KEY` environment variable. The server communicates via stdio and requires Python and `uv`.
Self-hosting requires Python and `uv` to run the server in an isolated environment. The hosted SSE service only needs an API key and internet access.

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