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

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  • F
    license
    A
    quality
    D
    maintenance
    Enables natural language profiling of iOS apps using xctrace (Instruments) for performance analysis like launch time, memory leaks, CPU usage, and network requests.
    12
    -
  • A
    license
    C
    quality
    D
    maintenance
    Enables interaction with Google Cloud services including billing cost analysis, log querying, and metrics monitoring through natural language commands. Provides comprehensive tools for managing GCP resources, analyzing costs, detecting anomalies, and retrieving operational insights.
    40
    1
    Apache 2.0
  • A
    license
    Not graded
    quality
    C
    maintenance
    Enables named, authenticated callers to run read-only introspection of a Google Cloud project and to read and write per-tenant notes that stay isolated between callers. Every request is scope-checked against a reviewed policy, rate-limited per caller, and audited without ever logging argument values.
    MIT
  • A
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    quality
    C
    maintenance
    Exposes a synthetic issue tracker and pipeline warehouse as callable tools so an agent can answer operational questions about tickets, pipeline health, runs, incidents, and governed metrics with every claim cited to the exact tool call it came from. All writes are proposal-only, requiring human approval through a gated apply path that logs each step for audit.
    MIT
  • F
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    Not graded
    quality
    D
    maintenance
    A comprehensive MCP server providing advanced Redmine project analytics, web automation via Playwright, and iTunes music integration. It enables detailed tracking of sprint metrics, bug counts, and team performance through a token-optimized tool architecture.
    -
  • F
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    quality
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    maintenance
    Enables AI agents and users to manage workspace files, monitor system metrics, take persistent notes, and retrieve weather data via MCP tools and resources.
    -
  • A
    license
    A
    quality
    C
    maintenance
    Enables managing and debugging Azure Logic Apps through natural language, with tools for listing, debugging, creating, updating, and deleting workflows.
    40
    40 npm
    6
    MIT
  • A
    license
    A
    quality
    C
    maintenance
    Enables AI agents to profile iOS/macOS apps using Xcode Instruments, automate simulator interactions, and get structured performance data for optimization.
    37
    16 npm
    19
    MIT
  • A
    license
    A
    quality
    D
    maintenance
    An MCP server for streaming and searching macOS Console.app and iOS device logs, enabling real-time log access and debugging through natural language.
    14
    6 npm
    1
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    aimdb-mcp provides an MCP server implementation that enables Large Language Models to interact with running AimDB instances for introspection, debugging, and monitoring.
    30
    101
    Apache 2.0
  • A
    license
    Not graded
    quality
    C
    maintenance
    Provides tools to query Zoho Apptics analytics data (crashes, devices, etc.) and automate iOS SDK integration into Xcode projects.
    11 npm
    1
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    Analyzes PCAP/PCAPNG network capture files to detect port scanning techniques (SYN, FIN, Xmas), classify scan patterns, and enrich suspicious IP addresses with threat intelligence data. Provides comprehensive network security analysis through natural language interactions.
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    MCP server that drives cdb.exe/kd.exe to provide WinDbg debugging to LLM agents, enabling crash dump analysis, live process debugging, kernel debugging, and a searchable command reference.
    206 npm
    6
    MIT
  • A
    license
    Not graded
    quality
    D
    maintenance
    Enables automated review and analysis of network security controls (AWS Security Groups, Network ACLs) using natural language queries. Supports NSC configuration reviews, network segmentation testing, and identifying security gaps through conversational LLM interaction.
    MIT
  • -
    license
    Not graded
    quality
    Not graded
    maintenance
    Enables AI-powered debugging through structured logging with pattern recognition and intelligent analysis. Allows applications to write structured logs and receive actionable debugging insights based on error patterns and frequency analysis.
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