Mymcp4
DataEyes MCP Service
This project provides an MCP (Machine-Comprehensible Protocol) service powered by DataEyes Intelligence. It exposes a series of tools (e.g., web content reading) to enhance the capabilities of AI Agents.
🤔 What is MCP?
MCP (Machine-Comprehensible Protocol) is a protocol designed for communication between AI Agents and tools. It standardizes how an agent discovers the capabilities of a tool and how it invokes them, enabling seamless integration between different AI systems and services.
✨ Features
- Standardized Protocol: Fully compatible with the MCP standard for easy integration.
- Hosted & Self-Hosted Options: Provides a stable, high-performance hosted SSE service and a self-hosted CLI for flexibility.
- Extensible Toolset: Offers an expanding suite of tools.
🛠️ Available Tools
This service provides a set of tools that can be invoked through the MCP protocol.
📖 reader
The reader tool can access a web page URL and return the main content in a clean, LLM-friendly Markdown format.
Parameters:
url(string, required): The URL of the web page to read.timeout(integer, optional, default: 30): The page load timeout in seconds (range: 1-60).
🔍 search
The search tool allows you to search the internet and returns relevant web page summaries.
Parameters:
q(string, required): The search query keywords.num(integer, optional, default: 10): Number of search results to return (min: 1, max: 50).
🚀 Getting Started
1. Obtain Your API KEY
An API KEY is required to use the DataEyes services.
Official Website: https://shuyanai.com
Please register and log in to obtain your exclusive API KEY.
2. Choose Your Usage Method
Option A: Hosted SSE Service (Recommended)
This is the easiest way to get started. Just point your AI Agent to our hosted SSE (Server-Sent Events) endpoint.
Endpoint URL:
https://mcp.shuyanai.com/sse?key=YOUR_API_KEY
Remember to replace YOUR_API_KEY with the key you obtained.
Option B: Self-Hosting via CLI
If you prefer to run the server locally, you can install it as a command-line tool.
a. Installation
We recommend using uv to install and run the tool in an isolated environment.
# First, install uv if you don't have it
pip install uv
# Run the server using uvx
uvx dataeyes-mcp-server
b. Environment Variable
For self-hosting, the server reads the API KEY from the DATAEYES_API_KEY environment variable.
- For macOS/Linux:
export DATAEYES_API_KEY='your_api_key' - For Windows:
setx DATAEYES_API_KEY "your_api_key"
Note: You may need to restart your terminal for the changes to take effect.
Once the environment variable is set, you can run uvx dataeyes-mcp-server to start the service, which will communicate via stdio.
📄 License
This project is licensed under the MIT License.
Server Config
{
"mcpServers": {
"dataeyes-mcp-server": {
"command": "uvx",
"args": [
"dataeyes-mcp-server"
],
"env": {
"DATAEYES_API_KEY": "sk-WEqKb5gdY84MAbTj3rHYZ1nvUhB3ogkC"
}
}
}
}