Enables running Swift package tests through the swift test command in specified directories. Provides a secure way for MCP clients to execute Swift tests without requiring full shell access.
Enables querying Swift codebases as a knowledge graph, with hybrid semantic and structural search, type hierarchy, public API inspection, and code analysis through MCP tools.
MCP server that provides semantic-level analysis of Swift codebases to AI agents by integrating with Apple's SourceKit-LSP, enabling compiler-grade code understanding and cross-file navigation.
Answers "sales dropped since last week — where?" by comparing a target period against a weekday-adjusted baseline and localizing which attribute combinations (e.g. channel=web, or Tuesday nights) explain the shift. Runs fully offline on your own CSV — no API key, no ML training, read-only.
Sift enables AI assistants to search all of Apple Mail locally at high speed, including bodies and PDFs, returning collapsed threads with quoted replies removed, without sending data anywhere.
Enables AI agents to retrieve multi-chain RPC details, live pricing, weekly-probed JSON-RPC method support, and probe any EVM endpoint for diagnostics.
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.
iOS leak hunting and performance investigation.
Reads .memgraph and .trace files, classifies retain cycles against a 34-pattern catalog with Swift fix templates, bridges to source via SourceKit-LSP. 28 MCP tools, 34 catalog resources, 5 investigation prompts.
Enables AI assistants to read and search a bilingual CORF register, follow ISO 27001, PCI DSS and SWIFT CSCF crosswalks in any direction, and score exported assessments.
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.
Enables running commands and capturing their output, then provides only the relevant lines to the model, with features for following long-running processes, outlining files, and summarizing logs.
Enables autonomous forensic investigation of disk images by mounting evidence, scanning for malware, and generating courtroom-ready reports using SIFT Workstation tools.
Enables AI coding agents to review Swift code, scaffold new iOS apps, and build, test, and preview them in the Xcode Simulator using local Apple guides and source references.
Enables AI assistants to manage Apple Reminders on macOS using natural language, with support for creating, updating, and searching reminders including advanced features like recurring patterns, location-based triggers, and multiple alarms.
A macOS-based MCP server that allows for capturing screenshots of displays and windows, as well as recording window activity to MP4 files. It leverages a Swift CLI backend to interact with macOS CoreGraphics and AVFoundation APIs for seamless screen capture management.