"How to create iOS apps" matching MCP servers:

Converts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.

Enables LLMs to create and manage Google Jules coding sessions programmatically.

Enables agents to dynamically create, edit, call, and persist Python tools across sessions.

Enables agents to execute multi-step iOS and Android UI workflows in a single tool call, using Jev to match accessibility controls and backends like XcodeBuildMCP or Appium/UIAutomator2 to perform and verify actions.

Enables Codex to delegate coding tasks to an OpenCode CLI locally, returning structured results such as exit codes, session summaries, tool calls, and git diffs.

MCP server that lets you drive Claude Code sessions hands-free by voice from any MCP client, enabling remote models to send prompts, monitor progress, and get results read back.

Enables MCP clients to create, read, message, wait for, interrupt, and settle persistent peer threads through an existing T3 Code server, keeping them visible across its clients. It supports project-scoped coordination with source attribution and retry-safe commands.

MCP server enabling AI agents to create and query Harmonica deliberation sessions. It allows users to create sessions, collect responses, and get summaries via natural language.

An open engine that gives AI persistent, reusable UI components with a writable component registry, versioned data storage, and a shell runtime, enabling AI to create, save, and reuse single-purpose apps.

Enables routing tasks to the right specialist agents, assembling the needed context from a layered catalog of agents, skills, knowledge, runbooks, topics, tools, and connectors, while remembering how a business wants work done.

Enables a supervisor agent to create, coordinate, steer, inspect, and interrupt multiple Codex agents as a subagent pool within an MCP host, running them alongside the host's own subagents.

Teach any AI agent how you use an MCP server – Soft-Landing to your AI integrations

Enables AI agents to manage USDC wallets on Solana, allowing them to send payments, create invoices, and access paid APIs within human-defined spending limits. It uses threshold signatures to provide agents with financial autonomy while ensuring secure oversight and transaction approval.

Build -> See -> Interact -> Debug over native GUI apps.

Enables AI agents to drive an iPhone or iOS Simulator through 30 tools and 4 resources, using an observe/act/verify loop with built-in safety approvals.

An MCP server that lets an AI agent drive the iOS Simulator in a loop, enabling tapping, typing, swiping, reading the screen via the accessibility tree, and verifying app state.

Enables learning how to build and use an MCP server with tools, resources, and prompts through a Python example.

MCP server for CreateWorker that lets you create and run tasks, manage knowledge, connect apps, and approve actions from AI assistants like Claude and Cursor.

An autonomous MCP server that uses the Claude Code CLI to solve coding problems without permission prompts.

One-pass agentic inbox triage as an MCP server: fetch unread Gmail → classify (action_needed/fyi/newsletter/noise) → summarize → extract tasks → draft replies as Gmail DRAFTS (never sends) → flag calendar → write a triage report. Four stdio tools (fetch_emails, save_gmail_draft, append_tasks, write_report); the host is the LLM, so it runs keyless in Claude Code. Gmail scopes: readonly + compose