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    Provides coding agents with visibility into test health through tools for flaky test detection, test quality linting, and LLM evaluation harness, enabling them to triage failures, review test quality, and check prompt changes for regressions.
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    Apache 2.0
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    Connects LLMs to your macOS Shortcuts library, enabling interactive workflows, discovery, and management through AppleScript and CLI integration.
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    Enables comprehensive security testing and penetration testing through natural language conversations with 92+ tools for reconnaissance, vulnerability assessment, web application testing, OSINT, and reporting. Designed for authorized bug bounty hunting and security assessments.
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    MIT
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    MCP server for the ReactUse library. Exposes 110+ React Hook signatures, examples, and API metadata so AI coding assistants can discover and use any hook from @reactuses/core directly.
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    Gives AI assistants a read-only, offline interface to the FinOps Foundation's published guidance — its principles, phases, domains, 22 capabilities with Crawl/Walk/Run maturity assessments, personas, and an 88-entry KPI library — so FinOps questions are answered with the Foundation's own text and formulas rather than improvised ones. It exposes 11 tools, document resources, and four guided prompts over stdio, with every response carrying its source URL and license.
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    3 npm
    MIT
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    Enables AI assistants to read, search, and traverse your reMarkable tablet library, including handwritten notes via OCR, turning it into a second brain.
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    MIT
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    Enables AI coding agents to make evidence-aware design-pattern decisions by analyzing cases, comparing options, detecting misuse, stress-testing assumptions, planning adoption, writing ADRs, and generating evidence plans with transparent scoring.
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    Enables AI assistants to automate mobile app testing and development for iOS and Android through natural language interactions. Supports intelligent element identification, session management, automated test generation, and comprehensive device interactions including clicks, swipes, screenshots, and app management.
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    6,209 npm
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    Apache 2.0
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    Enterprise-grade Azure security assessment toolkit with multi-location scanning, IMDS exploitation, attack path analysis, and compliance reporting. Enables authorized penetration testing and compliance audits across all Azure regions.
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    MIT
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    Habitica MCP server built with Effect v4, currently exposing a hello-world tool, resource, and prompt over stdio for early development and testing.
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    MIT