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"Understanding and Using JSON" matching MCP servers:

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    Structured web context infrastructure for AI agents. Extract reliable schema-guided JSON from websites using Claude-powered parsing, Browserless fallback rendering, and MCP-native workflows.
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    MIT
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    MCP server for remote web scraping, providing a scrape_web tool that fetches pages and extracts content as markdown or JSON, supporting CSS selectors.
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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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    MIT
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    A DOM-first, vision-second MCP server for webpage analysis, combining structural DOM extraction with MiniMax vision to provide accurate, context-rich page understanding for AI coding assistants.
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    Apache 2.0
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    Extract and structure any web page into clean JSON using the ClawPage API. Provides tools for registration, extraction, account management, and wallet integration.
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    MIT
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    ✨ 为你的 AI 助手装上 B 站的眼睛:一键提取视频字幕与热门评论,助力高效信息总结 🚀 ✨ Equip your AI assistant with "Bilibili Eyes": One-click extraction of video subtitles and popular comments for efficient information summarization 🚀
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    1,184
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    GPL 3.0
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    Extracts structured JSON from any URL using plain-language field specs, with caching and LLM-based selector discovery. Exposes scrape, list_cached_selectors, and refresh_selectors tools over stdio, and blocks private addresses for safety.
    4
    MIT
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    Provides AI access to Korea's land use planning, urban regulations, and permit information through natural language queries. It integrates tools for land analysis, regulation verification, and public notice scraping to prevent hallucinations in property-related AI applications.
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    MIT
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    MCP server for on-page SEO auditing and JSON-LD schema validation, providing tools for full SEO audit, schema validation, heading hierarchy, and image audit without requiring API keys.
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    MIT
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    Enables web search on Chinese internet content using Bocha AI, returning results as Markdown or JSON with configurable freshness and summary options.
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    MIT
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    An MCP server that allows searching through public SearXNG instances by parsing HTML content into JSON results, enabling metasearch capabilities without requiring JSON API access.
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    MIT
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    Extract content from URLs, documents, videos, and audio files using intelligent auto-engine selection. Supports web pages, PDFs, Word docs, YouTube transcripts, and more with structured JSON responses.
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    168
    MIT
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    Enables retrieval of comments from Bilibili videos and dynamic posts with support for pagination, sorting, and nested replies in both Markdown and JSON formats.
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    MIT
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    Search 21 sources in one call — GitHub, npm, PyPI, arXiv, HN, X, Reddit, and more. No API keys to juggle, structured JSON back.
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    MIT