"iOS Anti-Debugging Techniques and Implementation" matching MCP servers:

Enables AI assistants to search and retrieve documentation, component specs, theme guides, and CLI commands for the Meta Astryx Design System, providing structured tools and guidelines for coding agents.

MCP server that enables AI assistants to drive systematic literature review workflows, including screening, downloading, converting, and reviewing papers through natural language conversation.

Enables querying a curated reverse engineering knowledge base covering techniques, anti-analysis bypass, mobile internals, and tools via MCP clients like Claude or Cursor.

A collection of MCP servers for Slack, Jira, Confluence, and release coordination to automate QA workflows and daily release status reporting.

CometChat docs search + implementation bundles: add chat, voice, video & moderation to your app through your AI coding agent.

MCP server providing embedded Lenis smooth scroll expertise to AI assistants, enabling setup generation, API reference, debugging, scroll patterns, and performance optimization without network requests.

Exposes ProsodyAI documentation, SDK references, REST API reference (OpenAPI), and curated implementation recipes to AI coding agents via MCP tools and resources.

MCP server for technical research in the TOTVS Protheus ecosystem, enabling AI agents to query official documentation, community knowledge bases, and release notes through structured tools. It supports runtime error debugging and ADVPL code generation.

Provides an MCP knowledge base and tools for porting LuneOS to Android devices, covering kernel porting, boot images, GSI building, Yocto bring-up, nyx-modules, and a staged debugging playbook.

CLI and MCP server for AI agent strategy and deployment. Read blueprints, business cases, implementation plans, and specs from your coding agent. 18 tools for listing, retrieving, downloading, and updating blueprints. Exports full implementation specs as Agent Skills directories.

MCP server for Samsung Smart TV in-app payment (Samsung Checkout/DPI) development, enabling AI coding tools to provide real-time API references, code generation, troubleshooting, and implementation guides.

Enables AI clients like Claude Desktop to search J-Quants API endpoints, get detailed information, reference implementation patterns, and access FAQ answers using MCP.

Enables AI assistants to access Ramp's developer documentation and API schemas through natural language queries. Provides contextual answers about API endpoints, authentication methods, data relationships, and implementation patterns for developers building on Ramp's platform.

A comprehensive MCP server providing arithmetic tools, dynamic file resources for frontend/backend documentation, reusable prompt templates for code review/debugging/testing, and complete development workflow management from requirements to deployment.

Exposes the Agentic Patterns Catalog as MCP resources and tools for AI coding agents to search, retrieve, and recommend patterns, recipes, frameworks, methodologies, and anti-patterns.

Provides AI assistants with direct access to shadcn/ui components and blocks, enabling real-time fetching of component source code, documentation, and implementation examples.

MCP server providing comprehensive Leaflet.js documentation, code generation for maps, markers, layers, GeoJSON, choropleth, and debugging tools.

This server integrates with Mozilla Developer Network (MDN) documentation to suggest CSS properties, check browser support, and provide implementation guidance with user consent mechanisms.

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.

Enables access to ZEN University's syllabus content through MCP implementation, allowing users to get course recommendations and consultation about curriculum requirements via AI assistants.