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MCP Security Gateway

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    • A
      license
      Not graded
      quality
      A
      maintenance
      Enforces MCP security by proxying between AI agents and MCP servers, scanning tools and results for prompt injection, enforcing allow/deny policies, redacting sensitive arguments, and logging all traffic.
      248 PyPI
      MIT
    • A
      license
      Not graded
      quality
      F
      maintenance
      Enables transparent security for any MCP server by intercepting tool calls, blocking prompt injection attempts, masking PII in responses, and writing immutable audit logs.
      1,667 npm
      MIT
    • A
      license
      A
      quality
      A
      maintenance
      Enables sub-millisecond pre-execution safety filtering for AI agent tool calls, blocking destructive shell commands, dangerous SQL mutations, credential access, SSRF, and scope-creep or prompt-injection patterns before they execute, with optional fail-closed transparent proxy wrapping for any MCP server.
      6
      55 npm
      11
      Apache 2.0
    • A
      license
      Not graded
      quality
      A
      maintenance
      Security proxy that wraps any MCP server with bidirectional scanning for credential leaks, prompt injection, and tool description poisoning. Also provides an HTTP fetch proxy with a 9-layer scanner pipeline for capability-separated agent deployments.
      921
      Apache 2.0
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables secure, low-latency proxying of MCP tool calls by detecting and blocking malicious requests such as path traversals and command injections, while redacting leaked credentials.
      12 npm
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Provides a three-layer firewall for MCP servers that inspects tool outputs for malicious content, enforces egress destination policies, and gates consequential tool calls. It runs as both a proxy and an MCP server, enabling agents to scan content, check tool calls, and evaluate results before they reach the model.
      35 npm
      MIT