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agentx-mcp

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    • A
      license
      Not graded
      quality
      C
      maintenance
      Sits in front of any MCP server to enforce allow/ask/block policies on tool calls, paths, shell commands, and network domains, with local approval prompts and an audit log.
      MIT
    • F
      license
      Not graded
      quality
      C
      maintenance
      Enables safe use of any MCP server by proxying and live-scanning all tool requests and responses, blocking or redacting poison descriptions, indirect prompt injection, malicious arguments, and unauthorized destinations.
      -
    • A
      license
      Not graded
      quality
      B
      maintenance
      Security scanner and runtime proxy for MCP servers. Catches tool poisoning, prompt injection, and rug-pull attacks (silent tool description changes) before they reach your AI agent. Includes a static scanner and a runtime stdio proxy.
      59 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
      51 npm
      1
      Apache 2.0
    • A
      license
      A
      quality
      A
      maintenance
      Security-enforcing MCP proxy that sits between an AI agent and any number of downstream MCP servers, intercepting every tool call through a capability-token policy gateway that can allow, deny, or escalate to human approval before the call reaches any real tool. It also exposes built-in operator tools for approval workflows, audit trail queries, token management, voice/HUD output, and hierarchical
      21
      14
      Apache 2.0
    • A
      license
      Not graded
      quality
      A
      maintenance
      Open-source MCP proxy that enforces security policies, content scanning, and audit logging between AI agents and tool servers
      25
      AGPL 3.0