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    MCP server that parses web pages into clean markdown via Crawl4AI's HTTP API, exposing parse_page and health-check tools with configurable proxy and timeout.
    2
    MIT
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    Provides LLMs with real-time web search and content extraction capabilities, including text/news search, full-text URL reading, and targeted technical documentation search.
    3
    24
    MIT
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    Enables AI agents and users to query Perplexity AI's premium models (GPT-5.4, Claude 4.6 Opus, Gemini 3.1 Pro, etc.) via MCP tools, CLI, or API, with support for deep research, model council, and multi-turn conversations.
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    180
    MIT
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    MCP server providing 22 tools to query Perplexity AI's premium models (GPT-5.4, Claude 4.7 Opus, etc.) with citations, source discovery, and rate limit checking for AI agents.
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    15
    MIT
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    An MCP server that fetches web pages and extracts clean, AI-friendly Markdown content using Mozilla Readability. It provides secure web access for LLMs with built-in SSRF protection and automated content cleaning for improved context retrieval and summarization.
    1
    311
    MIT
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    Sandboxed Python execution with automatic dependency management. Executes Python scripts in isolated environments (bubblewrap or Docker) with PEP 723 inline dependencies, preventing host pollution.
    3
    1
    MIT
  • F
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    MCP server that establishes feedback-oriented development workflows with dual Web UI and desktop application interfaces, enabling AI to confirm with users via prompts and real-time feedback to reduce speculative operations and improve efficiency.
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    Ultra-fast web fetcher and MCP server written in Rust. Fetches any URL as clean Markdown with HTTP/3, JavaScript rendering, anti-fingerprinting, browser cookie authentication from Chrome/Firefox/Brave, and 1Password integration.
    8
    12
    MIT
  • F
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    Interactive feedback server for AI-assisted development with Web UI and desktop app support, enabling user feedback collection after AI tasks.
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    A comprehensive development toolkit with 23 tools covering code quality analysis, development efficiency, and project management. Enables AI-assisted code review, test generation, performance analysis, SQL generation, UI component creation, and automated project documentation.
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    MIT
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    Obox MCP is a development toolkit that enables AI agents to autonomously execute system commands, manage files, and navigate projects within the IDE.
    3
    MIT
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    Provides a constitutional governance framework for AI agents, offering 13 MCP tools for session initiation, reasoning, evidence fetching, judgment, and execution, all governed by hard invariant laws and a hierarchical set of constitutional floors.
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    AGPL 3.0
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    A personal memory engine and MCP server that stores durable facts in markdown files managed via git, enabling hybrid search (lexical + semantic) through an MCP interface for persistent context across LLM sessions.
    3
    MIT