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20 Best Browser Automation MCP Servers: compared and ranked, October 2026Ranked from 4,365 matching servers on stars, growth, downloads and maintenance. Updated .

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    Enables AI agents to check a list of websites by running an Apify Actor through one tool, returning per-site tech stack, on-page SEO issues and score, robots.txt rules for AI crawlers, sitemap, llms.txt presence, and an AI-readiness score. Supports local stdio operation with an Apify token for tool calls.
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    MIT
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    AutomateLab AI-SEO audits, scores, and rewrites web pages for AI citation eligibility, AEO and GEO. No API keys or registration. Works with Claude, Cursor, Codex, and other MCP clients. Product and documentation: https://automatelab.tech/products/mcp/ai-seo/
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    65 npm
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    A website audit MCP server that provides free tools to check on-page SEO elements like titles, descriptions, and images across up to 20 pages, and also validates robots.txt, sitemap.xml, and llms.txt accessibility.
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    An MCP server for converting App Store Optimization (ASO) data from platforms like App Store Connect into Web SEO data. It enables the creation of synced websites, keyword research, and automated blog content generation based on app store metadata.
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    An MCP server that lets agents run free, keyless lead-leak audits on UK local service businesses — detecting form platforms and their outreach implications, checking whether phone numbers are tappable tel: links, comparing phone numbers across a site and free directories, screening website hygiene, and locating a business's own site. It also bundles these into a single full audit that returns a prioritised list of fixable issues alongside top local competitors.
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    MIT
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    Enables AI assistants to check how discoverable a website is to AI search engines and assistants by inspecting signals like crawler access, llms.txt, structured data, and on-page metadata, and returning a 0-100 visibility score.
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    Find out how AI assistants and search engines talk about your brand. Ask how often ChatGPT, Perplexity and Google's AI answers mention you, where you rank, how positive those mentions are, which sites they cite, and how you compare with competitors. Your assistant can also set up and adjust the monitoring for you, showing a preview and asking before anything that deletes data or uses up your plan.
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    Enables local validation of supplied HTML for SEO metadata and JSON-LD structured data, checking titles, meta descriptions, H1s, image alt attributes, and JSON syntax errors.
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    MIT
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    Advanced content gap analysis using Query Decomposition and Keyword Fan-Out (Google's patented methodology). Tells you exactly what user queries your content covers - and what it misses. Built on academic research because I needed to understand how AI search engines actually evaluate content.
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    GEO (Generative Engine Optimisation). This tool shows you exactly how AI search engines see your content - claim density, writing quality, E-E-A-T signals, extractability. Research-backed metrics that correlate with 40% higher AI citation rates.
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    264 npm
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    MIT
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    Connects AI assistants to SE Ranking's SEO and project management APIs to enable natural language queries for keyword research, backlink analysis, and technical audits. It supports comprehensive tasks including competitive analysis, domain traffic tracking, and AI search visibility monitoring.
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    MCP server for the Wildberries Seller API: 202 tools for prices, promotions, ads, orders, supplies, reviews, finance and analytics. Multi-store, encrypted tokens, web dashboard and self-diagnostics; Docker with SSE or stdio.
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    212 PyPI
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    Provides access to the LinkedIn Sales Navigator API without requiring browser cookies for authentication. It enables AI assistants to interact with sales data and various utility endpoints including TV Maze and deck of cards.
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    MIT