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Merge pull request #14145 from Nagarjuna2997/add-ios-agent-skill
Add iOS Agent Skill to developer tools 🤖🤖🤖
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@@ -1629,6 +1629,7 @@ Tools and integrations that enhance the development workflow and environment man
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- [muhannad-hash/git-context-mcp](https://github.com/muhannad-hash/git-context-mcp) [](https://glama.ai/mcp/servers/muhannad-hash/git-context-mcp) 📇 🏠 🍎 🪟 🐧 - Answers "why does this code exist?" by tracing any line back through the commit, GitHub PR description, and linked issues. Five tools: blame context, commit story, file history, commit search, and file contributors. `npx git-context-mcp`
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- [mumez/pharo-smalltalk-interop-mcp-server](https://github.com/mumez/pharo-smalltalk-interop-mcp-server) 🐍 🏠 - Pharo Smalltalk integration enabling code evaluation, class/method introspection, package management, test execution, and project installation for interactive development with Pharo images.
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- [n8daniels/RulesetMCP](https://github.com/n8daniels/RulesetMCP) 📇 🏠 - Weight-On-Wheels for AI - keeps agents grounded in your project's rules. Query coding standards, validate snippets, and get task-specific guidance from version-controlled rule files.
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- [Nagarjuna2997/ios-agent-skill](https://github.com/Nagarjuna2997/ios-agent-skill) 📇 🏠 🍎 🪟 🐧 - Swift code reviews, local Apple references and app scaffolding in one MCP connection. Bundled simulator tools require macOS/Xcode. [](https://glama.ai/mcp/servers/Nagarjuna2997/ios-agent-skill)
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- [najaeda/naja-scope](https://github.com/najaeda/naja-scope) [](https://glama.ai/mcp/servers/najaeda/naja-scope) 🐍 🏠 - Lets AI agents explore elaborated SystemVerilog/Verilog designs (RTL or gate-level netlists) without pasting RTL into context: trace signal fan-in/fan-out, walk module hierarchy, and jump to exact `file:line` source, backed by the najaeda netlist engine.
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- [Souzix76/n8n-workflow-tester-safe](https://github.com/Souzix76/n8n-workflow-tester-safe) [](https://glama.ai/mcp/servers/Souzix76/n8n-workflow-tester-safe) 📇 🏠 - Test, score, and inspect n8n workflows via MCP. Config-driven test suites with two-tier scoring, lightweight execution traces, and a built-in node catalog with 436+ nodes.
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- [AutomateLab-tech/n8n-mcp](https://github.com/AutomateLab-tech/n8n-mcp) [](https://glama.ai/mcp/servers/AutomateLab-tech/n8n-mcp) 📇 🏠 - Nine-tool MCP server for n8n: generate workflow JSON from natural language, lint for deprecated node types, missing `typeVersion`, and broken connections, and debug per-node execution failures. Ships with a Claude Code skill. Install: `npx @automatelab/n8n-mcp`.
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