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"Mozilla" matching MCP servers:

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    Extracts and transforms webpage content into clean, LLM-optimized Markdown. Returns article title, main content, excerpt, byline and site name. Uses Mozilla's Readability algorithm to remove ads, navigation, footers and non-essential elements while preserving the core content structure.
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    MIT
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    A Python implementation of an MCP server that extracts webpage content, removes ads and non-essential elements, and transforms it into clean, LLM-optimized Markdown.
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    MIT
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    Transforms already-rendered HTML into LLM-friendly Markdown with metadata, using Mozilla Readability, Turndown, and DOMPurify. No outbound requests; ideal for post-JavaScript content extraction.
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    MIT
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    Fast, token-efficient web content extraction tool that converts websites to clean Markdown for AI agents, featuring smart caching, content extraction with Mozilla Readability, and polite crawling capabilities.
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    MIT
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    An MCP server that fetches web pages and extracts clean, AI-friendly Markdown content using Mozilla Readability. It provides secure web access for LLMs with built-in SSRF protection and automated content cleaning for improved context retrieval and summarization.
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    MIT
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    Enables local LLMs to search the web and fetch clean content from URLs without API keys, using SearxNG and Mozilla Readability.
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    MIT
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    This server integrates with Mozilla Developer Network (MDN) documentation to suggest CSS properties, check browser support, and provide implementation guidance with user consent mechanisms.
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    MIT
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    Enables comprehensive web and news searches via the Google Custom Search API with integrated content extraction using the Mozilla Readability algorithm. It allows users to perform quick snippet lookups or deep searches that fetch and format full article content into clean markdown.
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    MIT
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    Provides comprehensive website validation across performance, accessibility, SEO, and security dimensions using multiple testing services including WebPageTest, Google PageSpeed Insights, Axe DevTools, Mozilla Observatory, and SSL Labs. Enables automated website health assessments through browser automation and API integrations.
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    Provides access to Mozilla's Searchfox code search service, enabling AI assistants to search through Mozilla's codebases and retrieve file contents from repositories like mozilla-central, autoland, and ESR branches.
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    Apache 2.0
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    Enables web searching via DuckDuckGo and extracting readable content from any URL using Mozilla Readability, providing web context similar to Cursor's built-in functionality.
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    MIT
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    An MCP server that acts as a proxy between IDEs and the mcpd daemon, exposing all mcpd-managed MCP servers through a unified interface.
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    Apache 2.0
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    Enables AI agents to fetch and render web pages (including JavaScript-heavy SPAs) with headless Chromium, extract readable content with Mozilla Readability, capture navigation links, download images, and return a clean markdown file path.
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    ISC
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    Give AI agents full read/write email access through Mozilla Thunderbird. Zero credentials touch the agent — all IMAP/SMTP stays in Thunderbird. 12 MCP tools, 38 CLI commands, signed Thunderbird 128+ extension. Tested at 22 accounts / 249k messages.
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    MIT
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    Provides a Model Context Protocol interface for Mozilla Thunderbird, allowing AI assistants to manage emails, filters, calendars, and contacts. It exposes 24 tools for tasks like searching messages, drafting replies, and organizing folders through a local bridge.