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    Datadog MCP — 165 tools for metrics, monitors, logs, APM, RUM, incidents, CI/CD, fleet automation. Includes incident-triage-snapshot aggregation tool and 4 workflow Prompts.
    100
    466 npm
    3
    MIT
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    A lightweight MCP server that lets agents send email alerts for notifying humans when scheduled jobs fail, data is missing, or attention is needed.
    1
    MIT
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    Deploys 25 MCP tools for Apache Doris, enabling SQL execution, metadata queries, monitoring, and data governance over HTTPS via AWS Bedrock AgentCore Runtime.
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    Enables agents to query GPU availability across SSH hosts, find free GPUs, list hosts, and inspect fleet status using only nvidia-smi on the remote side.
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    MIT
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    Enables read-only access to Teramind's employee-monitoring metadata, including computer and agent inventory, departments, alerts, anomaly rules, behavior policies, and monitoring profiles.
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    Privacy friendly, cookieless web analytics built MCP-first. "Add analytics to my Next.js app" → an AI agent runs the setup_analytics_for_site tool, picks the right install snippet, edits your layout file, and verifies the script is loading. OAuth onboarding, no API keys to paste.
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    34 npm
    1
    MIT
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    Enables incident management and on-call operations for the All Quiet platform, allowing MCP clients to triage incidents, check who is on call, and access the full public API through generic tools.
    10
    MIT
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    An async MCP server for Jamf Pro integration, providing AI assistants with tools for computer health analysis, inventory management, and policy monitoring.
    8
    Apache 2.0
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    Make AIs recommend your business. Measures how AI assistants answer the questions your market asks, which sources they cite, and gives the levers to shape those answers. 43 tools on a hosted Streamable HTTP endpoint at https://mcp.epovest.com/mcp
    MIT
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    Enables AI agents to diagnose Windows computer problems safely through a consent-first, read-only default remote diagnostics bridge.
    MIT
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    Enables AI-powered debugging through structured logging with pattern recognition and intelligent analysis. Allows applications to write structured logs and receive actionable debugging insights based on error patterns and frequency analysis.
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