Yogosha Mcp
@mohdhaji87
关于 Yogosha Mcp
暂无概览
基本信息
配置
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"YogoshaMCP": {
"command": "uv",
"args": [
"--directory",
"/Users/haji/mcp-servers/yogosha-mcp",
"run",
"server.py"
]
}
}
}工具
未检测到工具
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
概览
What is Yogosha Mcp?
Yogosha Mcp is an MCP (Model Context Protocol) server that connects Yogosha’s vulnerability management platform with MCP‑compatible agents, LLMs, and workflow tools. It enables automation of bug bounty program tasks—such as vulnerability triage, asset inventory, and reporting—using natural language or orchestration workflows.
How to use Yogosha Mcp?
Set your Yogosha API key as an environment variable (no secrets in code), then invoke the server from any MCP‑compatible client, such as Claude Desktop or custom bots. The tool interface exposes Yogosha operations directly, eliminating the need for manual API scripting.
Key features of Yogosha Mcp
- Automate vulnerability management, asset inventory, and reporting.
- Integrate with any MCP‑compatible agent or LLM.
- Enforce API key security via environment variables.
- All operations are stateless and auditable.
- Extend functionality by editing server.py.
- Reduce time to triage, update, or report on vulnerabilities.
Use cases of Yogosha Mcp
- Let an LLM manage your bug bounty program, assets, and reports.
- Connect Yogosha with other security tools and dashboards via MCP.
- Automate vulnerability triage and status updates without custom scripts.
- Enable AI copilots to execute Yogosha API calls on demand.
FAQ from Yogosha Mcp
What problems does Yogosha Mcp solve?
It eliminates manual API scripting by providing a tool interface for Yogosha operations, enables AI copilots to manage bug bounty programs directly, and unifies security operations by integrating with MCP‑compatible tools.
How are API keys handled?
API keys are managed exclusively via environment variables—no secrets are written in code. All operations are stateless and fully auditable.
What can Yogosha Mcp integrate with?
Any MCP‑compatible agent, LLM, or workflow orchestrator, including Claude Desktop, custom bots, and automation pipelines.
How can I add custom endpoints or logic?
Simply extend server.py with new endpoints or custom logic; no modification of core infrastructure is required.
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