"Creating files in Xcode development environment" matching MCP servers:

Provides comprehensive development tools for FastMCP projects including documentation access, NPM package version management, and TypeScript type definitions retrieval. Enables developers to fetch FastMCP documentation, analyze NPM packages, and access MCP architecture information through natural language.

An all-in-one development toolkit that integrates 10 popular MCPs with comprehensive features for solo developers, supporting frontend, backend, mobile development, database management, testing, and deployment automation.

Give any LLM agent a real Android or iPhone. 62 MCP tools: tap, swipe, type, screenshot, screen-tree reading, app launch, camera, TTS, crash reports, batched execution. Android via ADB, iPhone via WebDriverAgent, on-device inference, Docker+KVM emulators. Works with Claude Code, Cursor, LangChain, LlamaIndex, and any MCP client. MIT.

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Real-time Amazon Sponsored Products (SP) ad placements, keyword tracking, and comprehensive review data for AI Agents. Enables LLMs to autonomously conduct competitor ad audits, consumer sentiment analysis (VOC), and product optimization.

Enables AI assistants to search, download, and generate visual content using Freepik APIs, including icon search, image generation, and resource management.

Enables AI agents to search, read, and publish Minecraft mods on Modrinth, including creating projects and uploading jar files as new versions.

Enables AI tools to interact with browsers for enhanced frontend development, providing context to LLMs through tools like API call analysis, screenshots, element selection, and documentation ingestion.

Allows LLMs to execute Python code in a specified Conda environment, enabling access to necessary libraries and dependencies for efficient code execution.

An MCP server for reading files from the local filesystem. Currently supports listing files in directories on the Desktop.

Remote MCP server for auditing app surfaces in AI agent ecosystems, checking recommendation status, and creating distribution plans.

A streamlined foundation for building Model Context Protocol servers in Python, designed to make AI-assisted development of MCP tools easier and more efficient.

Enables AI apps to work with Google Drive in plain language, including searching, organizing, uploading, downloading, exporting, sharing, and commenting on files, with reversible trash and configurable access scopes.

Enables AI models to access and search offline Wikipedia and other knowledge bases stored in ZIM format files. Provides intelligent content retrieval, structured browsing, advanced search capabilities, and metadata extraction for comprehensive offline knowledge access.

Enables AI apps to manage Google Calendar in plain language, including reviewing schedules, creating and changing events with guests and Google Meet, finding free time, and blocking Out of Office or Focus Time.

A lightweight, powerful, and flexible workflow engine that executes tasks defined in YAML configuration files.

Enables engraving LilyPond sources into cropped, self-contained EPS, PDF, SVG, and PNG assets for placement in page-layout software, with support for files or inline code and helpful diagnostics on failure.

Extentos is a multi-vendor development platform for adding smart-glasses capabilities to existing iOS and Android apps. The simplest analogy is Stripe for smart glasses:

Enumerates everything in a code checkout addressed to an AI agent, including instruction files, hook commands, declared MCP servers, and skills/subagents, so you can review what your agent will actually follow.

Enables AI assistants to manage remote servers via SSH with 14 commands for execution, file transfer, auditing, and monitoring.