Derisk MCP Server

@derisk-ai

代码仓库

基本信息

分类

其他

许可证

MIT

传输方式

stdio

作者

derisk-ai

关于 Derisk MCP Server

AI-Native Risk Intelligence Systems, OpenDeRisk——Your application system risk intelligent manager provides 7* 24-hour comprehensive and in-depth protection.

#agent #devops#risk-analysis#rl#sre #aigc #llms #mcp-server#ai-sre

Derisk MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "derisk": {
      "command": "uv",
      "args": [
        "sync",
        "--all-packages",
        "--frozen",
        "\\"
      ]
    }
  }
}

Derisk MCP Server 工具

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。

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 Derisk?

Derisk (OpenDeRisk) is an AI-native risk intelligence system that acts as an intelligent manager for your application, providing 24/7 comprehensive protection through multi-agent root cause analysis and visualization.

How to use Derisk?

Install via curl -fsSL https://raw.githubusercontent.com/derisk-ai/OpenDerisk/main/install.sh | bash, then configure API keys in ~/.openderisk/configs/derisk-proxy-aliyun.toml and run openderisk-server. Alternatively, clone the source, install dependencies with uv, and start with uv run derisk quickstart. Access the web UI at http://localhost:7777.

Key features of Derisk

DeepResearch RCA for root cause analysis from logs, traces, and code
Visualized evidence chain for clear diagnostic process
Multi-agent collaboration (SRE, Code, Report, Vis, Data agents)
Open-source architecture with MIT license
Supports flame graph and data analysis modes

Use cases of Derisk

AI-SRE: Root cause analysis using the OpenRCA dataset
Flame Graph Assistant: Analyze Java/Python flame graphs from applications
DataExpert: Conversational analysis of metrics, logs, traces, or Excel data

常见问题

What datasets does Derisk use?

Derisk relies on the OpenRCA dataset (approximately 26GB decompressed) for root cause analysis, with bank and telecom subsets available for download.

How do I configure API keys?

Edit `~/.openderisk/configs/derisk-proxy-aliyun.toml` after installation and set your API keys for the proxy (e.g., OpenAI). A web UI also allows model configuration after starting the server.

What are the runtime dependencies?

Derisk requires Python and `uv` (package installer). Optional extras include RAG, ChromaDB storage, OSS2 storage, DingTalk channel, and OpenAI proxy support.

Is Derisk open source and free to use?

Yes, Derisk is released under the MIT license and is completely open source. The architecture is designed for reuse and extensibility.

Where does the data reside?

Datasets are downloaded locally and placed in `pilot/datasets/` under the project directory. No data is sent to external cloud services by default.

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