AssetOpsBench MCP Server
IBM/AssetOpsBench
AssetOpsBench - Industry 4.0: A unified benchmark and framework for building, orchestrating, and evaluating domain-specific AI agents for Industry 4.0 asset operations and maintenance, with 460+ scenarios, 5 specialist agents (IoT, FMSR, TSFM, Work Order,...), and multi-agent orchestration blueprints (MetaAgent, AgentHive) over MCP.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
IBM/AssetOpsBench is a Python tool licensed under Apache-2.0. AssetOpsBench - Industry 4.0: A unified benchmark and framework for building, orchestrating, and evaluating domain-specific AI agents for Industry 4.0 asset operations and maintenance, with 460+ scenarios, 5 specialist agents (IoT, FMSR, TSFM, Work Order,...), and multi-agent orchestration blueprints (MetaAgent, AgentHive) over MCP. Topics: llm-agents, model-context-protocol, time-series-forecasting, condition-based-maintenance, hvac-maintenance, iot, predictive-maintenance, ai-for-physical-assets.
Ranked #92 out of 24840 indexed tools.
In the top 1% of all indexed tools.
Has 2,310 GitHub stars.
Has 50 contributors.
Actively maintained with commits in the last week.
Ecosystem
Score Breakdown
2,310 stars → well-known project
Last commit today → actively maintained
192/230 issues closed → responsive maintainer
50 contributors → active community
No dependents → no downstream usage
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
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From the README
# AssetOpsBench ### AI Agents for Industrial Asset Operations & Maintenance *A unified, open framework for building, orchestrating, and evaluating domain-specific AI agents in Industry 4.0.* 📄 [**Paper**](https://arxiv.org/pdf/2506.03828) · 🤗 [**Dataset**](https://huggingface.co/datasets/ibm-research/AssetOpsBench) · 🎮 [**Playground**](https://huggingface.co/spaces/ibm-research/AssetOps-Bench) · 📢 [**IBM Blog**](https://research.ibm.com/blog/asset-ops-benchmark) · 🎥 [**Video**](https://www.youtube.com/watch?v=kXmBDMrKFjs) · 📊 [**Kaggle**](https://www.kaggle.com/benchmarks/ibm-research/asset-ops-bench) · 🚀 [**Colab**](https://colab.research.google.com/github/IBM/AssetOpsBench/blob/main-0.x/notebook/LLM_Agent.ipynb) </div> > [!IMPORTANT] > 🎉 **AssetOpsBench is officially accepted at KDD 2026** (Datasets & Benchmarks Track), Jeju, South Korea, alongside our hands-on tutorial *Building Reliable Industrial Agents with MCP*. See [Publications](#publications) for the full list ofRead full README on GitHub →
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