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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.
    9
    204 npm
    1
    MIT
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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 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.
    2
    168 npm
    MIT
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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
    4
    MIT
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    Enables targeted company discovery, real-time DNS MX deliverability diagnostics, and clean web Markdown extraction for AI agents.
    MIT
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    Enables keyword research, organic rankings, competitor and backlink gap analysis, historical/mobile research, and AI visibility lookups by driving Semrush's own read endpoints through an authenticated Chromium session, with no developer API key or CAPTCHA service required. Every operation is also exposed as a native CLI command.
    MIT
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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.
    8
    MIT
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    Real-time Amazon Sponsored Products (SP) ad placements, keyword tracking, and comprehensive review data for AI Agents. Enables LLMs to autonomously conduct competitor ad audits, consumer sentiment analysis (VOC), and product optimization.
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    6
    MIT
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    Competitive intelligence for AI agents — analyze any URL or company description and get structured JSON with positioning, pain points, competitors, and unique market angles. Payments via x402 protocol ($0.05 USDC on Base mainnet), no accounts required.
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    MIT
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    MCP server exposing content contract validators (SEO.md, PRODUCTHUNT.md, LINKEDIN.md) as tools so AI agents can verify generated content against concrete rules without maintaining linters. It provides linting and JSON-LD export tools with config and content passed as parameters, not file paths.
    4
    MIT
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    MCP server exposing a "run" tool that checks a live site's SEO and generative-engine optimization: 21 technical checks returned as structured JSON.
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    20 npm
    MIT
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    Turns your AI host into a product videographer — scripted screen recordings of your own web app with a gliding cursor, camera zooms, highlight callouts, captions, and branded transitions, plus marketing-grade screenshots. Automatic dark-frame cleanup and MP4/GIF export. Free, MIT, 100% local — no account, no API keys.
    14
    66 npm
    3
    MIT
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    Enables users to interrogate ChatGPT, Perplexity, and Gemini with buyer questions and live web search to learn whether a business is recommended, ranked, competing with others, and having its website cited. Returns structured findings and estimated provider costs.
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    55 npm
    MIT
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    Enables AI agents to draft AP-style press releases from a product URL and publish them to a public newsroom page, or distribute them across a newswire to hundreds of news, TV and radio sites, with status tracking for wire orders. Paid calls are settled per request in USDC on Base via x402 from the user's own wallet, defaulting to quote-only mode with spend caps and confirmation tokens.
    3
    417 npm
    MIT
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    MCP server for Yandex Metrica — query your web analytics in plain language from Claude, Cursor, and other AI agents. Secretless one-command login (PKCE), read-only, TypeScript.
    12
    92 npm
    15
    MIT
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    MCP server for Yandex Metrica analytics: query web analytics metrics, goals, conversions, and raw API data using natural language from AI clients like Claude and Cursor.
    8
    133 npm
    4
    MIT
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    Read-only MCP server for the Sprout Social public API, exposing profile and post analytics as tools with raw JSON passthrough.
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