"A tool for developing applications with Xcode" matching MCP servers:

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.

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.

A Model Context Protocol server that enables AI assistants to build and test Xcode projects directly through a standardized interface, with capabilities for running tests, monitoring progress, and accessing logs in real-time.

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.

An MCP server that provides tools for programmatically interacting with Xcode projects, enabling users to manage targets, schemes, and files. It supports essential development tasks including building, testing, and cleaning projects through the Xcode command-line tools.

A server that acts as a bridge between Claude and local Xcode projects, enabling AI-powered code assistance, project management, and automated development tasks without exposing your code to the internet.

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.

Bridges Claude AI with Xcode, enabling AI-powered code assistance, project management, and automated development tasks securely on your local machine.

Bridges Xcode's mcpbridge to MCP clients via SSE, maintaining a single persistent process to eliminate repeated authorization prompts.

Provides agents with real Linux VMs to run commands, manage files, expose ports, and track costs, all through an ephemeral sandbox service.

A Model Context Protocol server that provides Claude with a dedicated space for structured thinking during complex problem-solving tasks, helping improve its reasoning capabilities.

Enables Large Language Models to access and manipulate Autodesk Revit models through a pyRevit-based bridge and the Model Context Protocol.

MCP server connecting Claude/Cursor to Codex CLI, enabling code analysis via @ file references, multi-turn conversations, sandboxed edits, and structured change mode.

Enables AI assistants to leverage Qwen's code analysis capabilities with large context windows, supporting file/directory analysis, sandbox execution, and multiple approval modes for safe code operations.

A minimal MCP server that exposes a run_command tool over stdio, enabling command execution within a Docker container.

MCP server that integrates Google Gemini CLI with AI assistants, enabling large file analysis and natural language queries without an API key.

A Model Context Protocol server that enables AI assistants to interact with Google Gemini CLI, allowing them to leverage Gemini's large token window for analyzing files and codebases using natural language commands.

Enables on-demand generation of TypeScript tools using an LLM with human-in-the-loop approval and safe sandboxed execution. It allows users to create and persist custom functionality through natural language requests.

A localhost broker that allows multiple MCP clients to share a persistent xcrun mcpbridge connection to Xcode, enabling tool discovery and serialized calls.

An MCP server that allows Claude Code to interact with the OpenAI Codex CLI.