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Add Gradle MCP Server
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@@ -253,6 +253,7 @@ Gitリポジトリおよびバージョン管理プラットフォームとの
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- [kj455/mcp-kibela](https://github.com/kj455/mcp-kibela) - 📇 ☁️ [Kibela](https://kibe.la/)との連携
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- [@awkoy/replicate-flux-mcp](https://github.com/awkoy/replicate-flux-mcp) 📇 ☁️ - Replicate APIを通じて画像を生成する機能を提供します。
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- [NakaokaRei/swift-mcp-gui](https://github.com/NakaokaRei/swift-mcp-gui.git) 🏠 🍏 - キーボード入力やマウス移動などのコマンドが実行できるMCPサーバー
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- [IlyaGulya/gradle-mcp-server](https://github.com/IlyaGulya/gradle-mcp-server) ☕ 🏠 - Gradle Tooling API を使用してプロジェクトを検査し、タスクを実行し、テスト結果をテストごとに報告するGradle連携
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## フレームワーク
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@@ -194,6 +194,7 @@ Web 内容访问和自动化功能。支持以 AI 友好格式搜索、抓取和
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- [Rootly-AI-Labs/Rootly-MCP-server](https://github.com/Rootly-AI-Labs/Rootly-MCP-server) 🎖️🐍☁️🍎 - 用于事件管理平台 Rootly](https://rootly.com/) 的 MCP 服务器
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- [YuChenSSR/mindmap-mcp-server](https://github.com/YuChenSSR/mindmap-mcp-server) 🐍 🏠 - 用于生成漂亮交互式思维导图mindmap的模型上下文协议(MCP)服务器。
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- [SDGLBL/mcp-claude-code](https://github.com/SDGLBL/mcp-claude-code) 🐍 🏠 - 使用 MCP 实现的 Claude Code 功能,支持 AI 代码理解、修改和项目分析,并提供全面的工具支持。
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- [IlyaGulya/gradle-mcp-server](https://github.com/IlyaGulya/gradle-mcp-server) ☕ 🏠 - 使用 Gradle Tooling API 来检查项目、执行任务并在每个测试的级别进行测试结果报告的 Gradle 集成
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### 🧮 数据科学工具
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@@ -241,6 +241,7 @@ Tools and integrations that enhance the development workflow and environment man
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- [SDGLBL/mcp-claude-code](https://github.com/SDGLBL/mcp-claude-code) 🐍 🏠 - An implementation of Claude Code capabilities using MCP, enabling AI code understanding, modification, and project analysis with comprehensive tool support.
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- [gofireflyio/firefly-mcp](https://github.com/gofireflyio/firefly-mcp) 🎖️ 📇 ☁️ - Integrates, discovers, manages, and codifies cloud resources with [Firefly](https://firefly.ai).
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- [yWorks/mcp-typescribe](https://github.com/yWorks/mcp-typescribe) 📇 🏠 - MCP server that provides Typescript API information efficiently to the agent to enable it to work with untrained APIs
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- [IlyaGulya/gradle-mcp-server](https://github.com/IlyaGulya/gradle-mcp-server) ☕ 🏠 - Gradle integration using the Gradle Tooling API to inspect projects, execute tasks, and run tests with per-test result reporting
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### 🧮 Data Science Tools
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