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
基本情報
概要はまだありません
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"dataeyes-mcp-server": {
"command": "uvx",
"args": [
"dataeyes-mcp-server"
],
"env": {
"DATAEYES_API_KEY": "YOUR_API_KEY"
}
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。
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.
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,

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

Model Context Protocol Servers

Request dedicated senior developers to work on your project, write job descriptions, and prep technical interviews — all without leaving your Claude chat. Just describe what you need, and Lemon.io MCP does the rest. 1–3
コメント