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Alternatives to mcp-sentinel

No user-submitted related servers found.

    Related Servers

    • A
      license
      A
      quality
      A
      maintenance
      Enables users to deterministically audit MCP servers for security issues across manifests, source, runtime responses, multi-call state, identity, and install scripts, and to run an inline gateway that gates tool calls and scans responses before returning them.
      3
      32 PyPI
      1
      Apache 2.0
    • A
      license
      Not graded
      quality
      B
      maintenance
      An MCP server that lets coding agents and child processes run against format-preserving phantom tokens in process.env, while real secrets are injected only inside a local edge proxy when the outbound host matches an allowlist. It also exposes blocked exfiltration attempts for auditing.
      299 npm
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      This MCP server enables security auditing for MCP configurations and AI agents, including prompt injection testing, data flow tracing, and security policy generation.
      66 npm
      MIT
    • A
      license
      B
      quality
      D
      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
    • A
      license
      A
      quality
      B
      maintenance
      Enables running AI coding agents and MCP servers inside an OS-level least-privilege sandbox that hides credentials and blocks network access by default, with tool firewalling, rug-pull protection, audit logging, and boundary verification.
      8
      AGPL 3.0
    • A
      license
      Not graded
      quality
      C
      maintenance
      Proxies MCP traffic between a client and a downstream server to enforce runtime policies on tool declarations, call arguments, and results, including allowlisting, sandboxing, secret and egress controls, and injection detection. It also includes a deterministic benchmark for measuring which security controls stop which attacks.
      MIT