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    MCP server for Adobe Edge Delivery Services (AEM EDS). 20 tools for preview, publish, bulk operations, content reading, Core Web Vitals, 404 tracking, A/B experiments, and site configuration. Works with Claude Code, Cursor, and VS Code Copilot.
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    Apache 2.0
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    MCP server for fetching, parsing, and managing RSS feeds. Features Fetch and parse RSS/Atom feeds In-memory caching with TTL Batch fetching of multiple feeds Monitor feeds for new items Search content across multiple feeds Extract and format feed content
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    Apache 2.0
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    Fetch, filter, and search RSS blog feeds to monitor industry content, track competitor blogs, and discover trending topics. 8 tools for feed management, article search, and content monitoring.
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    MIT
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    Enables interaction with RSS readers that support the FreshRSS API through natural language. Allows users to manage and query their RSS feeds and articles via LLM conversations.
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    MIT
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    Professional RSS/Atom feed management system with AI-powered analytics including sentiment analysis, trend detection, auto-categorization, cross-source verification, automated scheduling, and content export capabilities.
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    MIT
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    A Model Context Protocol server that allows interaction with RSS feeds, enabling users to import subscriptions via OPML files, fetch and update articles automatically, and filter content by source and status.
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    MIT
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    Enables running marketing platforms like Google Ads, Meta Ads, GA4, Search Console, Tag Manager, and WordPress from any MCP client to read performance, audit wasted spend, build reports, and launch campaigns (created paused until you say otherwise).
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    MIT
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    Enables interaction with blog RSS/Atom feeds to list posts, fetch content, get recent posts, retrieve blog metadata, and perform full-text search across post content. Supports any blog with an RSS/Atom feed through natural language queries.
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    Enables Claude to fetch, parse, and manage RSS/Atom feeds through the Model Context Protocol. It supports feed registration and retrieval, allowing users to access article summaries and full content from multiple sources via natural language.
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