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    Enables AI agents to perform instant SEO, performance, and security audits of any website through the Model Context Protocol. It provides comprehensive analysis without requiring API keys or configuration.
    11
    5
    MIT
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    Enables live website health checks including TLS, HTTPS, and security headers, returning an A-F grade with specific fixes.
    2
    MIT
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    Six-layer website monitoring (uptime, performance, SSL, DNS, visual regression, content change) from Claude, Cline, and Cursor. Free tools (DNS lookup, SSL check, speed test, website checker) work without an account; monitor, incident, alert, and status-page tools use a personal API key.
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    6 npm
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    MIT
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    MCP server that exposes 31 OSINT checks from Lissy93/web-check as tools for website analysis, including SSL, DNS, headers, WHOIS, and security presets. Enables natural-language-driven web recon and health checks.
    8
    MIT
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    A read-only MCP server for Umami analytics, enabling natural language queries of website stats, traffic trends, events, sessions, and analytics reports.
    13
    5 npm
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    Elastic 2.0
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    MCP server for querying privacy-friendly website analytics from a self-hosted Takt instance, supporting metrics like visitors, pageviews, realtime activity, and more.
    10
    12 npm
    MIT
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    Estimates the environmental footprint of your AI use — energy (kWh), miles driven, water used for cooling, and CO₂ — plus a prompt-efficiency score, working with any AI client by measuring token usage.
    9
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    Enables language models to access LangSmith observability platform features including fetching conversation history, managing prompts, retrieving traces and runs, working with datasets and examples, and analyzing experiments.
    13
    22,602 PyPI
    131
    MIT
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    Exposes DataFast analytics as tools for AI assistants, enabling natural language queries about website metrics such as visitors, referrers, revenue, and real-time data.
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    MIT
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    Enables management and monitoring of farm operations including field and crop tracking, livestock monitoring, equipment management, and sensor readings through a Model Context Protocol interface built with FastMCP.
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    Enables incident management through natural language, with tools for searching, retrieving, creating, updating, and commenting on issues, simulating upstream events, creating GitHub issues, and listing side effects.
    10
    MIT