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

MCP server that drives the iOS Simulator via accessibility-tree snapshots with stable element refs, enabling LLMs to interactively find, tap, type, and inspect UI elements at sub-200ms latency.

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

Exposes Amazon Nova Act web automation capabilities through the Model Context Protocol, enabling AI agents to perform browser tasks like navigation, data extraction, and form interaction.

Provides a standardized protocol for tool invocation, enabling an AI system to search the web, retrieve information, and provide relevant answers through integration with LangChain, RAG, and Ollama.

A production-oriented reliability, benchmarking, and evaluation system that layers multi-version protocol negotiation, adaptive streaming, connection pooling, and resilience onto an MCP agent runtime.

Enables AI agents to discover and execute tools via a secure MCP server with JWT authentication, RBAC, rate limiting, and audit logging.

An authless Cloudflare Workers server that provides tools to scrape, analyze, and answer questions about websites using Cloudflare's Browser Rendering and AI capabilities.

A meta-MCP server that acts as a universal gateway, allowing users to discover and execute tools from thousands of other MCP servers through semantic search. It dynamically loads servers on demand and provides standardized functions for searching, discovering, and running tools across the entire MCP ecosystem.

A Model Context Protocol server that enables scalable mobile automation for iOS and Android through a platform-agnostic interface, allowing LLMs to interact with mobile applications via accessibility snapshots or screenshot-based inputs.

An MCP server implementation that enables interaction with the Letta API for managing agents, memory blocks, and tools in the Letta system.

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.

An MCP server for the Dolphin{anty} anti-detect browser that exposes 71 tools for managing profiles, proxies, cookies, and more, plus page-level browser automation and a raw request escape hatch.

A Model Context Protocol server that enables scalable mobile automation through a platform-agnostic interface for iOS and Android devices, allowing agents and LLMs to interact with mobile applications using accessibility snapshots or coordinate-based interactions.

Model Context Protocol (MCP) server implementation that enables Claude Desktop to interact with Google's Gemini AI models.

A server implementation that enables interaction with the Futarchy protocol on Solana, allowing users to manage DAOs and proposals through both API endpoints and Cursor's chat interface.

Anti-detection browser automation MCP server. 18 tools wrapping CamoFox REST API with stealth fingerprinting that passes bot detection.

LLM Driven Trading Platform Orchestration - Strategy Design, Research & Implementation

A persistent memory implementation using a local knowledge graph that lets Claude remember information about users across conversations.

A Model Context Protocol server implementation that enables AI assistants to interact with Slack workspaces, allowing them to browse channels, send messages, reply to threads, add reactions, and retrieve user information.

The AgentOps MCP server provides access to observability and tracing data for debugging complex AI agent runs. This adds crucial context about where the AI agent succeeds or fails.