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"Methods to Improve Development Productivity Using MPC (Model Predictive Control)" matching MCP servers:

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    Enables automated review and analysis of network security controls (AWS Security Groups, Network ACLs) using natural language queries. Supports NSC configuration reviews, network segmentation testing, and identifying security gaps through conversational LLM interaction.
    Last updated
    MIT
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    Enterprise AI governance layer for spend tracking, runtime guardrails, policy enforcement, and budget limits. Connects Claude, ChatGPT, and any MCP client to ThinkNEO's control plane for SOC2/GDPR/HIPAA compliance monitoring and real-time provider health.
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    Apache 2.0
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    Enables brand visibility monitoring across major AI platforms like ChatGPT, Claude, Gemini, and Perplexity. It allows users to track visibility scores, analyze competitor data, and receive actionable insights to improve AI-generated brand recommendations.
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    MIT
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    An interface that allows large language models like Claude to interact with ActivityWatch time tracking data through the Model Context Protocol, enabling queries about application usage, browsing history, and productivity patterns.
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    MIT
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    Enables monitoring and control of the SST development process by streaming dev logs, managing Lambda invocations, and executing lifecycle commands like start, stop, and restart. It provides real-time access to event streams and deployment status directly through the Model Context Protocol.
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    Exposes the complete Zabbix API functionality through the Model Context Protocol, mapping API methods to tools for managing hosts, triggers, and monitoring data. It enables seamless integration and control of Zabbix monitoring environments via natural language interfaces.
    Last updated
    100
    MIT
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    MCP server for agent ecosystem analytics. Provides real-time health snapshots including transaction velocity and dispute rates, predictive analysis with confidence scoring, and pattern detection across multi-agent networks.
    Last updated
    MIT
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    A command-line interface and MCP server for managing and monitoring multiple development services through a unified terminal UI. It enables users to interact with service logs, filter messages, and control development environments directly via Model Context Protocol integration.
    Last updated
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    Enables comprehensive access to RescueTime productivity data and features through the Model Context Protocol. Supports analytics retrieval, focus session management, highlights creation, and offline time tracking through natural language interactions.
    Last updated
    9
    MIT
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    An MCP server powered by Meta's Prophet that enables LLMs to perform time-series forecasting, trend analysis, and predictive modeling on historical data. It provides LLM-friendly statistical summaries, automated business-rule validation, and ready-to-render Chart.js visualizations.
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    MIT
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    Connects LLMs to Google PageSpeed Insights to analyze web performance, accessibility, SEO, and best practices, enabling AI assistants to audit and improve any web page.
    Last updated
    MIT