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    An MCP (Model Context Protocol) server that gives AI agents live, structured ad intelligence across Facebook, Google, and Instagram — data that no base model can produce from training alone. Powered by Apify actors. Works with any MCP-compatible client: Cursor, Claude, etc.
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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.
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    MIT
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    A Model Context Protocol server that enables AI models to perform real-time internet and knowledge searches through Higress, enhancing model responses with up-to-date information from Google, Bing, Arxiv, and internal knowledge bases.
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    Apache 2.0
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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.
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    MIT
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    MCP server for full-text search across PDF document collections with offline indexing, ranked results, snippets, and page rendering.
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    4
    MIT
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    Enables web search and web fetch operations using Ollama's hosted APIs, allowing MCP clients to search the web and retrieve page content.
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    MIT
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    Provides LLMs with real-time web search and content extraction capabilities, including text/news search, full-text URL reading, and targeted technical documentation search.
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    MIT
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    Downloads your entire Search Console dataset into a local SQLite database, then gives your LLM a pre-built SQL query library for every standard SEO analysis type, with context available for your LLM to perform any SQL query to answer your questions and analyse for you.
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    Apache 2.0
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    Lightweight MCP server that exposes tools for system information and weather lookup, designed for agent integration via stdio.
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    A read-only MCP server for Google Search Console that lets you query search performance data, sitemaps, and URL index status from any MCP client.
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    5
    MIT
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    Enables AI agents to perform real-time web searches and extract clean, LLM-readable content from URLs using the Tavily API.
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    MIT
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    A local web search MCP server supporting parallel, API, and model-based search modes, integrating Zhipu Web Search API and online models for real-time information retrieval.
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    Enables comprehensive threat analysis for Indicators of Compromise (IoCs) including IP addresses, file hashes, domains, and URLs. It provides detailed reputation scores, security vendor evaluations, and network metadata to facilitate security assessments and risk detection.
    Last updated
    4
    MIT