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ENJA

iris-agentic-dev

intersystems-community/iris-agentic-dev

An MCP server and toolset that enables AI coding assistants to interact directly with InterSystems IRIS database instances for development and testing.

29 10MITUpdated 2026-08-07

Overview

The iris-agentic-dev skill provides a Model Context Protocol (MCP) server written in Rust, allowing AI assistants like Claude Code, GitHub Copilot, and OpenCode to execute ObjectScript, run SQL queries, compile classes, perform unit tests, inspect productions, and search namespaces against live InterSystems IRIS environments.

Capabilities

  • Execute ObjectScript and SQL commands
  • Query globals and inspect class definitions
  • Run unit tests against live IRIS instances
  • Search code and manage development skills
  • Integrate with VS Code Server Manager and keychain credentials

Best for

Executing and testing InterSystems ObjectScript code directly from AI chat interfaces, Running and debugging database unit tests using live IRIS instances, Querying globals and inspecting class definitions or production architectures via AI, Automating connection configuration through VS Code extension integrations and server managers

Works with

Claude CodeCursorGitHub CopilotOpenCode
Evoa Score breakdown= Σ (score × weight)
75
Task usefulness20%88 → +17.6

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%90 → +13.5

実装・指示の品質。 AIによるSKILL.md/README解析

Maintenance15%100 → +15.0

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%39 → +4.7

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%85 → +8.5

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%42 → +3.4

コミュニティの採用度。 GitHub Stars/Forks(対数スケール)

Compatibility5%100 → +5.0

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 total75.1 / 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

Handles database credentials and connections to InterSystems IRIS instances; ensure proper access controls and avoid hardcoding production credentials in configuration files.

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.