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    Enables AI assistants to query distilled SEO expert tactics from public content, returning actionable insights linked to original source videos.
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    A content exploration MCP server that helps LLMs surface high-signal, unsummarized web content through clean APIs and Markdown conversion, with intelligent frontmatter steering and citation tracking.
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    MIT
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    Simulate hundreds of AI agents to predict how communities react to events and policies. Upload any document (PDF, Markdown, text) and DeepMiro spawns a diverse swarm of AI agents that debate, share, and form opinions — then delivers a calibrated prediction report. Free and open-source.
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    AGPL 3.0
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    Enables AI clients to browse instruments, items, dimensions, expert assignments, and calculate Content Validity Index (CVI) via a standard MCP interface.
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    MIT
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    MCP server for the Internet Archive's Wayback Machine. Search archived snapshots, extract page text from a specific date, track how a site has changed over time, check if broken links are recoverable, and perform research across Internet Archive collections.
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    MIT
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    Enables access to Sentrul's research, compliance scanning, and trace lookup agents through MCP clients. Provides 257 production agents for analyzing web content, detecting compliance patterns, and retrieving structured trace data.
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    MIT
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    Provides advanced Google Custom Search functionality, web content extraction, and specialized research tools such as search analytics, multi-site search, and fact checking. Works as an MCP server compatible with any MCP client.
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    MIT
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    Provides web search, content extraction, and deep research capabilities through the UniFuncs API, enabling real-time and asynchronous AI-powered search and research tasks.
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    Enables web search and deep research capabilities through the Tavily API, allowing users to gather comprehensive information from the web with configurable search parameters and planning rounds.
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    Enables AI assistants to create and manage content collections, perform web searches, and enhance data using Exa AI's websets capabilities with guided workflows for research and analysis.
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    MIT
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    Enables deep research into cryptocurrency tokens by gathering data from multiple sources like CoinGecko and DeFiLlama to generate structured reports. It allows users to track research progress, fetch web content, and manage resources locally for comprehensive crypto analysis.
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    Apache 2.0
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    Integrates with the Babbar.tech SEO API to enable AI assistants to perform advanced SEO analysis, competitor research, backlink auditing, and content gap identification.
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    MIT