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    agentcentral is a hosted MCP server for Amazon sellers that connects Claude, ChatGPT, and other AI clients to Amazon Ads, Seller Central, inventory, orders, catalog, rankings, finance, and fulfillment data. It provides fast reads from pre-materialized Amazon data, scoped API keys, OAuth-based Amazon connections, encrypted tokens, per-tenant isolation, and guarded write tools with audit log
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    MIT
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    Enables AI assistants to schedule and publish social media posts to platforms like Instagram, TikTok, YouTube, LinkedIn, Facebook, X, Threads, and Pinterest using natural language.
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    Enables managing multiple Microsoft Clarity projects by routing requests per client name using a token map, proxying the official Clarity MCP server with tools to list and switch clients.
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    MIT
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    Digital business cards, lead capture forms, and service listings - built and managed by AI. 63 tools with live browser editing, stock photos, web scraping, and guided tours.
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    MIT
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    An MCP server that generates high-quality blog cover images using Google Gemini AI and automatically uploads them to Qiniu Cloud storage. It provides automated WebP conversion and compression to deliver optimized CDN URLs for generated images.
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    Give your AI agent access to 60M+ companies and 300M+ verified contacts. Enrich leads, find work emails, discover tech stacks, and identify buying intent — directly from Claude, Cursor, Windsurf, or any MCP-compatible AI agent.
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    MIT
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    Provides tools for accurate Twitter/X post character counting, validation, and optimization using official counting methods. It enables users to extract entities like URLs and hashtags to ensure content fits within platform constraints.
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    Provides tools to interact with the HireBase Job API, enabling users to search for jobs using various criteria and retrieve detailed job information through natural language.
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    MIT
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    Provides AI assistants with real-time access to Shopify store analytics, sales data, and inventory through ShopifyQL and the Admin GraphQL API. It enables users to query store performance, customer metrics, and marketing insights using natural language.
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    MIT