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    swagger-mcp is a tool designed to scrape Swagger UI by extracting the swagger.json file and dynamically generating well-defined mcp tools at runtime. These tools can be utilized by the MCP client for further tool selection.
    81
    MIT
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    MCP server for searching Japanese train routes using Yahoo! Transit data, enabling station-to-station route planning with optional via stations, time specifications, and fare options.
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    26
    MIT
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    MCP server for searching Fiverr gigs, comparing freelancer packages, reading seller reviews, and exploring service categories. Provides structured tools for gig search, details, seller profiles, reviews, and category browsing with built-in anti-bot handling.
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    MIT
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    An MCP server for searching PC components and comparing prices across Brazilian stores via meupc.net. It enables users to explore community builds, track deals, and access detailed hardware specifications and compatibility information.
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    3
    MIT
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    Enables querying DNS Shop product data via MCP: search, product details, reviews, specifications, variants, categories, brand catalogs, availability by city, and store listings.
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    MIT
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    Enables users to search for vehicles and retrieve detailed listing information from the Turbo.az automotive marketplace. It supports advanced filtering by make, model, price, and other specifications through natural language queries.
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    An MCP server that provides access to Naver OpenAPI services, enabling users to search blogs, news, books, images, and other content through standardized Model Context Protocol interfaces.
    114
    MIT
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    Remote MCP / x402 / USDC / Base / Solana / OpenAPI / Google ADK / Gemini Xcatcher is an agent-first Remote MCP server (Streamable HTTP) for high-throughput crawling of fresh/latest posts across large sets of X (Twitter) usernames. It supports x402 pay-as-you-go top-ups using USDC on Base and Solana.
    9
    MIT
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    Model Context Protocol (MCP) server for scraping Taobao and Tmall product information. Enables AI assistants to fetch comprehensive product data including details, images, specifications, reviews, and Q&A sections.
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    Turns any website into a rich set of MCP tools for scraping, crawling, structured data extraction, and automatic API mounting via OpenAPI specs.
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    Enables searching and exploring the dark web (.onion) via a gMCP-compatible server, with tools to search multiple engines, fetch onion pages, check status, and extract links.
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    Enables HTML page analysis, verification, and automated correction using Playwright for rendering and Mistral AI for visual inspection. Captures screenshots, analyzes renders against specifications, and generates fixes for HTML issues.
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    DocPull v6 is a local-first MCP server that turns public web sources into cited, versioned context packs for AI agents, RAG systems, and developer workflows. It can fetch and sync public static and server-rendered sources such as changelogs, standards, API references, OpenAPI specs, feeds, repo/package metadata, papers, filings, pricing pages, blogs, and other web sources.
    25
    MIT