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Alternatives to ghostsoc-mcp

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    Related Servers

    • A
      license
      Not graded
      quality
      B
      maintenance
      Scans remote MCP endpoints, manifests, and agent skills for security threats, providing deterministic scores, verdicts, and signed reports to verify agent infrastructure before trust or payments.
      1
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      Security scanning for AI agent skills, MCP servers, and agent prompts, returning signed trust scores and detailed findings.
      MIT
    • A
      license
      B
      quality
      C
      maintenance
      Unifies seven open-source security scanners into one MCP interface, normalizing and deduplicating findings with AI-assisted triage, patch verification, and reports. Enables agents to scan source code, dependencies, secrets, containers, infrastructure-as-code, and authorized live targets under server-enforced safety limits.
      18
      1
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables authorized security auditing of AI-agent supply chains and agent-facing surfaces: deterministic local skill-bundle audits against eight attack patterns, secrets scanning, and scope-gated read-only recon of agent endpoints and MCP surfaces.
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables agents to run server-side security audits through callable tools that sweep attack surfaces, trace source-to-sink reachability, verify live findings, and manage scope, recon, chains, manuals, intelligence, and memory from any MCP client.
      4,402 npm
      515
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables an agent or MCP client to scan MCP server configs and AI-agent tool manifests on demand, exposing tools that list detection rules and report hidden prompt injections, data-exfiltration attempts, embedded secrets, deceptive Unicode, unpinned packages and shell-launching tools. Each finding comes with a severity and location so risky tool descriptions can be caught before an attacker exploits them.
      38 PyPI
      1
      Apache 2.0