IoT-Edge-MCP-Server
MCP Serverlwsinclair/IoT-Edge-MCP-Server
An Industrial IoT and Edge Computing Model Context Protocol (MCP) server that exposes 11 tools for controlling PLCs, sensors, and actuators via AI agents.
3 6MITUpdated 2025-11-14
68
GoodOverview
This Model Context Protocol server connects traditional industrial infrastructure and automation systems with AI agents. By integrating MQTT, Modbus, InfluxDB, and Redis, it allows operators to manage sensors, actuate valves and motors, read PLC registers, and handle multi-priority alarms using natural language prompts.
Capabilities
- ▸Read single or batch sensor data
- ▸Retrieve historical time-series data with aggregations
- ▸Execute actuator commands for valves, motors, and pumps
- ▸Read and write Modbus PLC registers
- ▸Monitor, filter, and acknowledge enterprise-grade alarms
- ▸Simulate hardware environments for offline testing
Best for
Smart factory production line optimization and anomaly detection, Building automation for intelligent HVAC and lighting control, Energy management and consumption optimization, Predictive maintenance through historical trend analysis, Automated incident response and alarm management
Works with
ChatGPTClaude CodeCursor
Evoa Score breakdown= Σ (score × weight)
68Task usefulness20%100 → +20.0
実タスクにどれだけ役立つか（機能の豊富さ・用途の明確さ）。 — AIによるcapabilities/use-cases解析
Code quality15%85 → +12.8
実装・指示の品質。 — AIによるSKILL.md/README解析
Maintenance15%50 → +7.5
リポジトリがどれだけ活発に保守されているか。 — GitHub 最終push日時の新しさ
Documentation12%45 → +5.4
ドキュメントの充実度・分かりやすさ。 — README/独自要約の情報量
Security15%50 → +7.5
危険・不審な挙動が無いか。 — AIによるセキュリティレビュー
Originality10%90 → +9.0
ありふれたラッパーではない独自性。 — AIによる独自性判定
Popularity8%30 → +2.4
コミュニティの採用度。 — GitHub Stars/Forks（対数スケール）
Compatibility5%75 → +3.8
対応AIエージェントの広さ。 — AIによる対応エージェント判定
Weighted total68.3 / 100
ライセンス不明/制限あり（Red）のSkillは総合スコアに0.85倍の補正を適用します。 ランキングはこのScoreのみで決まり、広告で変わりません。 算出方法の詳細 →
Security considerations
Exposes hardware control capabilities (valves, motors, PLC registers) over HTTP endpoints; proper network segmentation, firewall rules, and authentication should be enforced in production environments.
Categories
Summary and analysis are original content generated by AI Skills Rank. The skill's source text is not reproduced here — view it on the linked repository.