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"How to search for Facebook profiles" matching MCP servers:

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    A focused Model Context Protocol server that enables AI agents to search Facebook Marketplace and retrieve listing details using public GraphQL endpoints, without browser automation or login.
    3
    MIT
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    MCP server for Facebook Pages organic analytics and management using Meta Graph API v25.0. Enables AI assistants to read page insights, posts, comments, and publish content via natural language.
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    46
    MIT
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    A Facebook/Messenger MCP server that lets AI agents read and engage with profiles, pages, posts, comments, groups, Messenger conversations, notifications, and events using the user's existing browser session cookies — no Graph API app, tokens, or browser automation required. It supports multi-account and Page switching, write operations (posting, commenting, messaging) with per-identity limits and cooldowns, and honest error reporting where Meta has decommissioned cookie-era endpoints.
    41
    MIT
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    A Model Context Protocol (MCP) server implementation that provides Facebook Page interaction and management capabilities. This server enables automated posting, comment moderation, and content retrieval.
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    Enables access to the Facebook Scraper3 API to extract data from Facebook profiles, pages, groups, and the marketplace. It provides comprehensive tools for searching posts, people, and events, as well as retrieving detailed metadata for comments, reactions, and media.
    40
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    MIT
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    MCP server for AI agents to send notifications, copy to clipboard, request confirmations, and collect text input from users across their devices.
    11
    527
    Apache 2.0
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    Fetches a URL and returns the main content as clean Markdown, using plain HTTP when possible and headless Chromium for JavaScript-rendered or bot-protected pages.
    1
    MIT
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    An MCP server that allows coding agents to search the Swift Package Index and retrieve GitHub READMEs without requiring an API key. It features comprehensive search filters for stars, platforms, and licenses, providing token-efficient responses optimized for LLM comprehension.
    3
    MIT
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    Converts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.
    3
    27
    Apache 2.0
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    Enables web search without API keys using DuckDuckGo and Bing search engines, and retrieves webpage content. Supports multiple search engines simultaneously with privacy protection and asynchronous processing.
    2
    7
    MIT
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    Free multi-source search for AI agents with multi-source verification, token savings, and MCP native support.
    7
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    Apache 2.0
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    MCP server for full-text search across PDF document collections with offline indexing, ranked results, snippets, and page rendering.
    4
    MIT