How do I get a Yunaq GAC API key?
Go to https://gac.yunaq.com/doc/api?section=token, register or log in, navigate to Docs > Token, copy your API-TOKEN, and set it as the environment variable `GAC_API_KEY`.
@knownsec
A Model Context Protocol (MCP) server that provides comprehensive IP and domain intelligence. This server allows Large Language Models (LLMs) to obtain detailed security information, reputation assessments, and threat intelligence by analyzing IP addresses and domains through the
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"gac": {
"command": "python3",
"args": [
"-m",
"mcp_server_gac"
],
"env": {
"GAC_API_KEY": "your_api_key_here"
},
"enabled": true
}
}
}Comprehensive IP address analysis providing detailed security intelligence and reputation assessment.
Comprehensive domain analysis providing detailed security intelligence and reputation assessment.
创宇安全智脑 is a Model Context Protocol (MCP) server that provides comprehensive IP and domain intelligence. It allows large language models (LLMs) and AI assistants to obtain detailed security information, reputation assessments, and threat intelligence by analyzing IP addresses and domains through the Yunaq GAC platform.
Install the server via pip (pip install mcp-server-gac), then set the GAC_API_KEY environment variable with a valid Yunaq GAC API token. Configure the server in your MCP client (e.g., Claude Desktop, Cursor) using the command python -m mcp_server_gac. Tools available are analyze_ip (requires ip string) and analyze_domain (requires domain string).
Go to https://gac.yunaq.com/doc/api?section=token, register or log in, navigate to Docs > Token, copy your API-TOKEN, and set it as the environment variable `GAC_API_KEY`.
It provides two tools: `analyze_ip` (IP address analysis) and `analyze_domain` (domain analysis). Each returns basic information, reputation scores, threat intelligence, and network details.
Multiple API endpoints are queried simultaneously, and results are combined into a single comprehensive response, providing a complete view of security intelligence in one call.
- Authentication errors: ensure the API key is correct, not expired, and set as an environment variable. - Connection issues: verify internet connectivity and API availability. - No results: simplify your query or correct syntax errors. - Rate limiting: space out requests or upgrade your account for higher limits.
Yes, the server is licensed under the MIT License.
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,
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