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

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 analysis of claims, validation of sources, and detection of manipulation using multiple epistemological frameworks to ensure credible and ethical information.

A simple server that acts as a Master Control Program (MCP) for unified interaction with OpenAI and Anthropic (Claude) AI models through a single API endpoint.

Enables building and evaluating LangGraph agents over a protocol-level MCP server to measure failure rates across four agent topologies.

Provides a hand-written MCP server integrated with a LangGraph agent to benchmark multiple agent topologies and measure their failure rates.

Enables AI agents to break down complex tasks into manageable pieces using a structured JSON format with task tracking, context preservation, and progress monitoring capabilities.

MCP server for step-by-step mathematical reasoning and planning, enabling AI agents to execute calculations and perform GUI actions like opening PowerPoint.

An MCP-based trivia game server where AI creates rounds with two true statements and one false 'twist' about various topics, letting players guess which statement is false.

TheWeave is a markdown-native memory architecture for Claude and any MCP-aware agent. Your agent's memory lives as plain .md files you own: a 5-verb MCP core over the vault, query-driven PageRank retrieval, bi-temporal facts (valid_from / valid_until), and a persona-as-vault model. No database and no embeddings server. The files are the memory, inspectable in your editor and versionable in git.

Enables MCP agents to play chess locally, supporting join, state, legal moves, and move execution with per-session color ownership.

A multi-tool AI assistant system that uses Model Context Protocol to connect language models with various tools, including math calculations and weather information.

A tool that implements Claude Shannon's problem-solving methodology to help break down complex problems into structured steps including problem definition, constraints, modeling, validation, and implementation.

Official implementation of Anthropic's 'think' tool that provides Claude with a dedicated space for structured reasoning, improving performance by up to 54% on complex tasks requiring multi-step problem solving.

Provides shared real-time context for Claude Code agents, including scope awareness, prior decisions, and anti-overlap, using only files in the repo.

Enables autonomous debugging of Commodore 64 programs through the VICE emulator with semantic interpretation of C64-specific data structures, memory layouts, VIC-II states, and PETSCII encoding for AI-assisted 6502 assembly debugging.

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.

Enables Codex and Claude Code to delegate implementation, research, debugging, and long-log work to DeepSeek Harness, then observe, continue, or cancel those sessions without leaving the primary workflow.

Provides operational control and automation tools for AstrBot developers, enabling plugin debugging, configuration management, message sending, log monitoring, and bot restart capabilities through AI agents.

Gives your AI agent a persistent browser identity with anti-detection, credential vault, and multi-persona support for automated web browsing, login, and signup.