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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

1

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.

2

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.

3

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.

4

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.

5

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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