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    Free local MCP servers for a business's Google visibility: index checks, Search Console insights, website audits and live Google results, plus a resume kit tailored to one job posting. Stdlib Python.
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    MIT
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    Enables AI assistants to search and aggregate used-vehicle listings across Cars.com, Autotrader, and KBB, with filters for price, mileage, dealer information, and CARFAX-style history conditions.
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    MIT
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    AutomateLab AI SEO Magic Button runs a whole-site AEO/GEO audit and generates a prioritized plan an agent can execute. It combines AI-SEO and Citation Intelligence and ships as a skill, plugin, and MCP server. Product and documentation: https://automatelab.tech/products/skills-and-plugins/ai-seo-magic-button/
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    6 npm
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    MIT
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    Enables read-only buyer-side searches of live Avito listings for used PC components, inspection of full listing cards, and side-by-side comparison of exact offers, defaulting to Yekaterinburg without an Avito account or API key.
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    MIT
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    An MCP server that searches Xiaohongshu (Little Red Book) for top-liked image-text notes, extracting structured data such as title, content, author, links, and images. It can be used as an MCP tool or CLI for AI workflows.
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    Enables AI assistants to search and retrieve used and new car listings from carsales.com.au, with support for various filters and detailed listing information including images. It uses a real browser to bypass bot protection and integrates with MCP-compatible clients like Claude Desktop and Claude Code.
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    MIT
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    Enables pricing an entire project at the best delivered price by grouping purchases across multiple merchants, new and used, while minimizing total cost including shipping through a single MCP call.
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    MIT
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    The webslinger-mcp server enables users to execute scripts to perform web-based tasks via the webSlinger browser extension. webSlinger is an automation tool where a user demonstrates a task to perform and records a session map which is used to create a script. Such scripts can be run demand, on a schedule, or via the mcp-server.
    MIT
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    Enables AI agents to research FOMO.family through a local browser session, including discovering trending and most-held coins, reading trader theses, viewing holders, and managing watchlists.
    MIT
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    This MCP scraps vinted for product info. Disclaimer: This script is designed for educational purposes only. It is intended to demonstrate web scraping techniques and should not be used for any commercial or personal gain. Please note that using this software may violate the terms of service of Vint
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    GPL 3.0
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    A free and unlimited web search server that enables AI models to search, crawl, and research web content using DuckDuckGo without requiring API keys. It features parallel crawling and a smart ranking system to prioritize the most relevant information for complex queries.
    111 npm
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    MIT
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    Enables discovery of a company's public feature board (Canny, Featurebase, Frill, UserVoice, Productboard) from its domain and retrieval of its most-voted requests with votes, status, comments, and the integrations customers ask for. Supports monitoring runs that surface only new requests, status changes, and vote jumps since a prior run using a saved state key.
    MIT
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    Enables English and Chinese web search without an API key, returning compact multi-source evidence while recording provider failures and enforcing request and evidence budgets. Paid providers can be used only when policy and credentials allow.
    118 npm
    Apache 2.0
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    Enables querying the BuiltWith API to discover and analyze website technology stacks, including frameworks, analytics tools, CMS platforms, and other technologies used by any domain.
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    MIT
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    Enables English and Chinese web search and URL extraction through zero-key sources with no API account required, returning compact multi-source evidence with provenance, visible provider failures, and bounded request and token budgets. Paid providers are used only when routing policy and credentials explicitly allow it.
    118 npm
    Apache 2.0