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Alternatives to mcp-cocktail

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    • A
      license
      Not graded
      quality
      B
      maintenance
      A sandbox-first MCP server that enables AI agents to safely perform reverse-engineering tasks in fully isolated Docker containers, featuring zero-trust security, declarative YAML-based skills, and white-hat ethical safeguards.
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    • A
      license
      Not graded
      quality
      B
      maintenance
      A large-scale benchmark that evaluates AI agents' tool-use competency across 36 real MCP servers using a reproducible Docker sandbox and LLM-as-judge scoring.
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    • A
      license
      B
      quality
      C
      maintenance
      Enables deterministic security testing of AI agents that use tools by serving synthetic MCP environments with poisoned data, fake secrets, and privileged actions. Records agent tool calls and evaluates security invariants (e.g., canary leaks, forbidden access, approval binding) without an LLM judge or real systems.
      8
      MIT