AI-Native Risk Intelligence Systems, OpenDeRisk——Your application system risk intelligent manager provides 7* 24-hour comprehensive and in-depth
AI-Native Risk Intelligence Systems, OpenDeRisk——Your application system risk intelligent manager provides 7* 24-hour comprehensive and in-depth protection. That is what the derisk mcp server brings to an AI assistant: the same capability, reachable through the Model Context Protocol rather than a separate app or dashboard.
The system employs a multi-agent architecture. Currently, the code primarily implements the highlighted components. Alert awareness is based on Microsoft's open-source OpenRCA dataset. The decompressed dataset is approximately 26GB. On this dataset, we achieve root cause analysis through multi-agent collaboration, with Code-Agent dynamically writing code for final analysis.
The server publishes 11 tools. What each one is for:
Notice — We use the OpenRCA Dataset [Bank Dataset](https://drive.usercontent.google.com/download?id=1enBrdPT3wLG94ITGbSOwUFg9fkLR-16R&export=download&confirm=tDownload — gdown https://drive.google.com/uc?id=1enBrdPT3wLG94ITGbSOwUFg9fkLR-16RDataExpert — Upload metrics, logs, traces, or Excel data for conversational analysisOpenDeRisk — OpenDeRisk is an AI-Native Risk Intelligence System designed as your application system's intelligent manager, providing 7×24 hour comprehensive andFeatures — 1. DeepResearch RCA: Quickly locate root causes through in-depth analysis of logs, traces, and code. 2. Visualized Evidence Chain: FullyArchitecture — The Architecture tool exposed by this serverIntroduction — The system employs a multi-agent architecture. Currently, the code primarily implements the highlighted components. Alert awareness is based onStart — The Start tool exposed by this serverDevelopment — The Development tool exposed by this serverCitation — If you find this repository helpful, please cite: @misc{di2025openderiskindustrialframeworkaidriven, title={OpenDerisk: An Industrial Framework forAcknowledgement — The OpenDeRisk-AI community is dedicated to building AI-native risk intelligence systems. 🛡️ We hope our community can provide you with betterSetup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client.
Among the developer tooling options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. Derisk's toolset — Notice, Download, DataExpert and 8 more — is a fair guide to whether it matches your workflow. It is maintained by derisk-ai; worth a glance at recent repository activity before you build anything load-bearing on it.
This entry was verified against Derisk's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
| Tool | What it does |
|---|---|
| Notice | We use the OpenRCA Dataset [Bank Dataset](https://drive.usercontent.google.com/download?id=1enBrdPT3wLG94ITGbSOwUFg9fkLR-16R&export=download&confirm=t&uuid=42621058-41af-45bf-88a6-64c00bfd2f2e) |
| Download | gdown https://drive.google.com/uc?id=1enBrdPT3wLG94ITGbSOwUFg9fkLR-16R |
| DataExpert | Upload metrics, logs, traces, or Excel data for conversational analysis |
| OpenDeRisk | OpenDeRisk is an AI-Native Risk Intelligence System designed as your application system's intelligent manager, providing 7×24 hour comprehensive and in-depth protection. |
| Features | 1. **DeepResearch RCA:** Quickly locate root causes through in-depth analysis of logs, traces, and code. 2. **Visualized Evidence Chain:** Fully visualize diagnostic processes and evidence chains for clear, accurate judg |
| Architecture | The Architecture tool exposed by this server. |
| Introduction | The system employs a multi-agent architecture. Currently, the code primarily implements the highlighted components. Alert awareness is based on Microsoft's open-source [OpenRCA dataset](https://github.com/microsoft/OpenR |
| Start | The Start tool exposed by this server. |
| Development | The Development tool exposed by this server. |
| Citation | If you find this repository helpful, please cite: @misc{di2025openderiskindustrialframeworkaidriven, title={OpenDerisk: An Industrial Framework for AI-Driven SRE, with Design, Implementation, and Case Studies}, author={P |
| Acknowledgement | The OpenDeRisk-AI community is dedicated to building AI-native risk intelligence systems. 🛡️ We hope our community can provide you with better services, and we also hope that you can join us to create a better future to |
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