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    Enables checking project files like Dockerfile, .nvmrc, and CI workflows to determine whether pinned runtime, database, and OS versions are still supported, providing end-of-life dates, latest patches, and upgrade targets for 470+ products.
    3
    MIT
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    MCP server for AI-powered web research — search (Google, Brave, Serper, SearXNG), scrape any page, extract PDFs/DOCX/YouTube transcripts, academic & patent search. Single Go binary. Works with Claude, Cursor, Copilot, and any MCP client.
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    MIT
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    Provides a unified web search tool for AI agents by running multiple search providers concurrently and returning normalized results. It integrates with Claude Code, Codex CLI, OpenCode, and Hermes.
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    179 PyPI
    10
    MIT
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    Enables reading web pages and PDFs as clean Markdown, extracting main content and letting agents query for relevant passages, outline sections, search in-page, and list links while respecting robots.txt and blocking private addresses.
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    MIT
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    Connect AI assistants to your Gramps Web family tree. Search and edit genealogy records, explore ancestors, descendants, relationships and timelines, and read document scans with vision-capable models. Includes guided research workflows, source citations, read-only mode, and privacy-aware media previews. Install with Docker or a Claude Desktop bundle.
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    AGPL 3.0
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    Gives LLM agents spatial awareness inside Autodesk Maya, enabling scene inspection and measurement, aesthetic and engineering audits, camera planning, checkpoint/rollback safety, asset import, and viewport or render previews. Agents can also execute arbitrary Python in Maya to build and verify 3D scenes against engineering rules instead of writing blind.
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    433 PyPI
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    MIT
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    Enables MCP-capable agents to perform reliable web search and content fetching through a single server that automatically fails over across multiple providers. It handles keyed or keyless authentication automatically and returns clean Markdown or text results.
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    MIT
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    A fault-tolerant, stealth-enabled Model Context Protocol (MCP) server for web searching and content fetching. Built for AI Agents (Cursor, Claude Code, OpenCode), it uses a stealth browser engine to fetch pages, dynamically handles SPAs/React, and converts bloat into token-optimized Markdown.
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    25 npm
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    MIT
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    MCP server for web scraping with natural language, enabling site crawling, page fetching, and extraction of emails, phones, links, and social profiles. Returns clean markdown, handles JavaScript rendering, and respects rate limits.
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    MIT
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    Enables AI agents to subscribe to a deterministic daily ethics feed drawn from a four-module curriculum and retrieve read-only tools, resources, and reflection prompts covering principles, case studies, and codes of conduct.
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    MIT
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    Enables AI agents to perform web searches via DuckDuckGo without API keys and automate browser tasks with headless Chromium. Supports multi-step research workflows that automatically search and extract content from multiple pages.
    7
    79 npm
    51 PyPI
    MIT