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"Information about SQLite: a lightweight database engine" matching MCP servers:

  • A
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    quality
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    maintenance
    MCP server for multiple databases (PostgreSQL, MySQL, MariaDB, SQLite, MongoDB, Redis) with tools for schema inspection, querying, performance diagnostics, and safe write operations, featuring access modes, PII masking, and audit logging.
    Last updated
    Apache 2.0
  • A
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    quality
    B
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    An MCP server that provides cost and reliability observability for LLM and agent workflows. It records model calls and allows querying and aggregating telemetry data through MCP tools.
    Last updated
    MIT
  • A
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    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
    Last updated
    2
    MIT
  • A
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    quality
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    A Model Context Protocol server that provides AI agents with controlled read access to Datalust Seq instances for log analysis and monitoring. It enables agents to search events, execute data queries, and retrieve information about signals, dashboards, and alerts.
    Last updated
    100
    2
    MIT
  • A
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    Connects AI assistants to Crontinel, enabling natural language queries about cron jobs, queues, Horizon status, and alerts without opening a browser.
    Last updated
    4
    MIT
  • A
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    quality
    D
    maintenance
    A lightweight npm MCP server for deep Redis diagnostics, offering tools for memory, slowlog, clients, keyspace, latency, and config analysis with AI-powered recommendations.
    Last updated
    57
    MIT
  • F
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    quality
    C
    maintenance
    Patent-pending diagnostic + decisions-ledger engine for any host software system — operator briefs and a severity-gated MCP console.
    Last updated
  • A
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    quality
    C
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    A lightweight MCP server that enables AI assistants to deploy, inspect, and operate Kubernetes workloads through high-level workflow tools, reducing token usage with structured outputs.
    Last updated
    3
    MIT
  • A
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    quality
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    Enables integration with Datadog APIs to monitor and retrieve information about monitors, metrics, dashboards, logs, events, and incidents through the Model Context Protocol.
    Last updated
    1,208
    MIT
  • A
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    quality
    F
    maintenance
    AI infrastructure agent that gives Claude eyes into servers via a hub-and-spoke system with MCP endpoint, lightweight agents, and 19 integration packs for enterprise systems.
    Last updated
    7
    1
    Apache 2.0
  • A
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    quality
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    maintenance
    Enables AI assistants to query and fetch error and performance monitoring data from AppSignal through the Model Context Protocol. Supports searching and retrieving detailed information about application errors and performance samples with flexible filtering options.
    Last updated
    5
    MIT