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"Resources for Learning Reverse Engineering Skills" matching MCP servers:

  • F
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    Transform any AI agent into a domain expert by giving it access to modular, reusable skills through the Model Context Protocol. Brings Claude's Skills format to any MCP-compatible agent, allowing you to create skills once and use them everywhere.
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    27
  • A
    license
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    quality
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    MCP server that serves agent skills (SKILL.md bundles) to any MCP client, exposing them via tools and resources for tool-oriented and resource-aware clients.
    3
    20
    ISC
  • A
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    quality
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    A Model Context Protocol (MCP) server that provides intelligent search capabilities for discovering relevant Claude Agent Skills using vector embeddings and semantic similarity. This server implements the same progressive disclosure architecture that Anthropic describes in their Agent Skills enginee
    3
    396
    Apache 2.0
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    Exposes 79 cybersecurity skills and 12 orchestrator agents over MCP, with a typed 11-field output contract, an enforced resolvable-evidence gate (no verdict without a resolvable source), and human-approval gating for every mutating action. Apache-2.0, stdlib-only.
    8
    4
    Apache 2.0
  • A
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    quality
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    Connects AI coding agents to the SkillsMP marketplace, allowing users to search, read, and install over 8,000 community-made skills. It enables agents to gain new capabilities either through on-the-spot instruction or permanent installation without requiring an API key.
    5
    33
    8
    MIT
  • A
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    Integrates with the skills.sh ecosystem to allow AI coding agents to discover, install, and manage reusable instruction sets. It enables autonomous agents to extend their capabilities with structured skill discovery and full lifecycle management through the Model Context Protocol.
    6
    51
    1
    Apache 2.0
  • A
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    quality
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    A Ghidra MCP server that enables AI language models to interact with Ghidra for reverse engineering tasks, providing small, context-efficient tools to reduce hallucination and handle large binaries.
    798
    Apache 2.0
  • A
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    quality
    B
    maintenance
    Enables AI agents to learn from their work by recording tasks, extracting patterns, detecting mistakes, and proactively surfacing insights, all using the agent's own model through a cooperative intelligence pattern.
    MIT
  • F
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    quality
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    maintenance
    An AI-centric MCP server that enables automated Xilinx Vivado workflows, including project management, synthesis, implementation, and timing analysis. It allows AI agents to drive hardware design processes while integrating directly with the official Vivado GUI for visual context.
    15
    4