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    An MCP server that enables AI assistants to control HTTP Toolkit for intercepting, inspecting, and debugging HTTP(S) traffic from browsers, mobile devices, and Docker containers. It provides tools for server management, interceptor activation, and sending HTTP requests through natural language commands.
    23
    14 npm
    1
    MIT
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    Enables AI coding assistants to control a persistent Chrome browser through DevTools Protocol. Supports web navigation, screenshots, element interaction, mobile testing, console logs, and network debugging in a stable Docker environment.
    10
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    MIT
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    Enables AI agents to interact with, test, click buttons on, and verify Telegram bots end-to-end via MTProto, including messaging, inline queries, media exchange, and automated test suites.
    MIT
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    Enables generating Robot Framework test cases with SeleniumLibrary, creating page object models, and performing performance monitoring through natural language.
    7 npm
    MIT
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    Multi-database SQL validation service with Docker containerization, supporting PostgreSQL, MySQL, Oracle, SQL Server, and more, providing secure SQL execution with transaction rollback and zero data residue.
    MIT
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    Enables reading, validating, and managing Minecraft resource packs, including structure checks, asset listing, pack comparison, and Modrinth queries.
    MIT
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    Unity Editor adapter for the DCC MCP ecosystem, providing tools to inspect and modify Unity projects, scenes, builds, and diagnostics through a WebSocket bridge.
    MIT
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    Sentinel is an enterprise-grade security server that integrates tools like Semgrep, Trivy, and Gitleaks via Docker to perform automated vulnerability scanning and compliance checks. It enables users to conduct static analysis, secret detection, and AI-powered threat modeling directly through Model Context Protocol-compatible IDEs.
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    An MCP server that enables running tests and retrieving filtered telemetry summaries and on-demand logs to prevent LLM token overflow. It supports Docker and Playwright integration to provide detailed insights into network requests, console errors, and backend logs.
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    A remote MCP server exposing 3 tools via Model Context Protocol: score_prompt (free, grades any LLM prompt A-F on 0-40 scale), optimize_prompt (returns optimized prompt + dimension breakdown, $0.025 USDC), and compare_models (Claude vs GPT-4o head-to-head, $1.25 USDC). Remote HTTP server at /api/mcp.
    2
    78 npm
    2
    MIT