"Zig" matching MCP servers:

Serves always-fresh official Zig documentation for the latest release, curated performance guidance, and safe dry-run-based toolchain auto-updates.

Provides Apple Human Interface Guidelines design tokens (colors, typography, Liquid Glass constraints, SwiftUI mappings) as structured data for AI coding agents.

Creates Windows-compatible ZIP files from macOS by normalizing Unicode filenames and removing forbidden characters, ensuring seamless file sharing.

Build, sign, and publish iOS and Android apps through AI agents. Integrates Codemagic CI/CD, App Store Connect, and Google Play in one server.

Enables AI assistants to read and write to a personal knowledge vault of markdown notes, projects, and tasks, with tooling for search, capture, daily logs, and project management across different AI tools.

Enables AI agents and their users to ask business questions in plain language and receive governed metric values, breakdowns, share-of-total figures, and the exact parameterized SQL behind them, drawn from a single semantic model rather than ad-hoc SQL. It also lets clients inspect available metrics and their definitions, and preview optimized queries without executing them.

A local MCP server that lets AI coding assistants search Apple's Human Interface Guidelines catalog, fetch individual articles as Markdown, and read community implementation notes for native apps and the web. It enables guideline-grounded design, conversion, and auditing workflows across iOS, iPadOS, macOS, watchOS, tvOS, visionOS, and web platforms.

A local MCP server for IG's REST Trading API, providing account/history, market data, position, working-order, and trade-confirmation tools with guarded OTC trade actions.

MCP server for IG's REST Trading API and Lightstreamer streaming API. Provides tools for accounts, markets, positions, orders, watchlists, sentiment, OTC trades, and streaming price/account/trade/chart data.

Compresses context for AI agents by storing memories in compact markdown files with FTS5 search, enabling fast retrieval of relevant information while saving tokens.

Big Indexer provides architecture-aware context (boundaries, seams, impact scope, and BGI-TWIN tools).