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    A
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    MCP server that provides read access to Plausible Analytics data with natural-language date resolution, enabling users to query analytics like 'yesterday' or 'last week' without needing to know exact date formats.
    8
    MIT
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    license
    B
    quality
    C
    maintenance
    Enables AI assistants to query structured Seq logging events, search logs by date ranges and signals, convert natural language into strict Seq filter syntax, run analytical SQL queries, and monitor live log streams.
    6
    MIT
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    Enables interaction with Datadog's monitoring and observability platform through the MCP protocol. Supports incident management, monitor status checks, log searches, metrics queries, APM traces, dashboard access, RUM analytics, host management, and downtime scheduling.
    13
    3 npm
    Apache 2.0
  • A
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    Not graded
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    A
    maintenance
    Enables managing and observing Technitium DNS Server through MCP, including read-only or read-write tool surfaces, scoped bearer authentication, audit logging, and confirmation gates for destructive operations.
    MIT
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    A
    maintenance
    Enables AI agents to monitor, trace, query, and manage local DNS resolver chains using MCP, with health checks, packet tracing, Pi-hole log access, and automated failover via natural language.
    8
    MIT
  • A
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    Not graded
    quality
    C
    maintenance
    Enables AI clients to call upstream MCP tools under each user's own identity, with guardrails, approvals, data filtering, and tamper-evident audit streaming to SIEM.
    AGPL 3.0
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    Not graded
    quality
    A
    maintenance
    Behavioral trust scoring for MCP servers and AI agents. Live registry tracking 4,500+ servers with trust scores (0-100) based on interaction history, success rates, and latency
    2
    MIT
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    B
    maintenance
    Enforces identity-based access control and audit logging for MCP servers, letting you grant fine-grained tool permissions to users and systems while failing secure by default.
    MIT
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    maintenance
    Analyzes DevOps findings to automatically recommend and generate AWS Fault Injection Simulator (FIS) experiment templates. It helps teams validate system resilience by mapping reported issues to specific chaos engineering actions across AWS services.
    MIT