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  • A
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    Enables agents to report and query performance metrics to build a community-driven quality database for MCP tools. This server helps agents discover and select the most reliable tools based on success rates and user-reported quality scores.
    Last updated
    4
    MIT
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    quality
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    Lets agents query their own usage ledger captured by the Agentic Ledger proxy: sessions with full call traces, costs, loop runs, and stuck-loop flags. Tools include list_sessions, get_session, search, list_runs, get_run_status, and explain.
    Last updated
    2
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    2
    MIT
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    An MCP server for detecting retry loops and analyzing iteration patterns in agentic coding workflows, providing structured debugging intelligence to improve repair attempts.
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    5
    MIT
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    AgentGuard47 is runtime safety infrastructure for AI agents. It adds budget caps, loop detection, retry limits, timeouts, local traces, and incident reports so agents can stop bad runs while they are happening, not just explain them afterward.
    Last updated
    7
    4
    MIT
  • A
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    An MCP server for managing MCP server registries with health checks, duplicate detection, and configuration portability. It helps prevent MCP sprawl by tracking server health, identifying overlapping tools, and generating portable configurations for different clients.
    Last updated
    7
    41
    MIT
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    SentinelOps is an MCP server that enables AI-powered security operations with human-in-the-loop safety. It allows agents to investigate threats, propose actions, and execute security responses only after explicit human approval.
    Last updated
    MIT
  • F
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    quality
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    Password-protected dashboard and Remote MCP observer for Codex work, recording concise task milestones via observe_start, observe_report, and observe_finish tools.
    Last updated