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"Generating a module in an iOS Xcode project using MVP with Coordinator architecture" matching MCP servers:

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    Enables any MCP-compatible AI assistant to search, filter, and retrieve information from a local document collection using a hybrid search pipeline with vector, BM25, reranking, and LLM enrichment.
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    MCP server for standardizing software module development with tools for planning, code quality analysis, security scanning, performance evaluation, documentation generation, accessibility checks, and progress tracking.
    Last updated
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    Unified MCP server for Xcode + iOS Simulator — build, deploy, screenshot, and interact with your iOS app from Claude Code, Cursor, or any MCP client. Built in Swift. Single binary. No Node/Python runtime required.
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    MIT
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    Enables control of the iOS Simulator using the xcrun simctl command-line utility. It allows users to manage devices, install and launch apps, send push notifications, and simulate device features like GPS location.
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    Enables AI assistants to build, test, run, and manage Apple platform projects (iOS, macOS, tvOS, watchOS, visionOS) directly through Xcode. Provides comprehensive control over Xcode projects, Swift packages, simulators, and development workflows without leaving your editor.
    Last updated
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    MIT
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    A Model Context Protocol server that provides tools for Xcode-related operations, making it easier to work with iOS project management, building, testing, archiving, and deploying apps to both simulators and physical devices.
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    MIT
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    An MCP server for coordinating a permissionless swarm of AI agents to discover, investigate, and synthesize on-chain anomalies across EVM chains. Agents authenticate via off-chain ECDSA and earn reputation through useful contributions.
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    MIT
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    Enable Claude Code, Cursor, or your favorite LLM to interact with Xcode, building your projects the same way you do, and seeing the same errors. Greatly increases productivity when working on iOS, iPadOS, macOS, visionOS, tvOS projects & Swift packages - or any time you might use Xcode.
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    MIT
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    Enables AI assistants to manage Xcode projects by listing targets, reading configurations, and triggering builds via the Model Context Protocol. It facilitates natural language interaction with macOS developer tools to streamline iOS app development processes.
    Last updated
    6
    174
    MIT