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    Improves AI agent task performance by providing task area segmentation, hierarchical RAG, and hybrid search capabilities.
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    A stdio MCP server that provides a single tool to query Gemini with Google Search grounding for current web information, returning synthesized answers with source links.
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    An MCP server that enables AI assistants to interact with OmniFocus on macOS via JXA, supporting task, project, folder, tag, perspective, and search operations.
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    An MCP server that connects Claude to Perplexity Comet for agentic web browsing and deep research via an isolated browser instance. It enables Claude to delegate complex navigation, login flows, and real-time task monitoring to Perplexity's specialized research intelligence.
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    MIT
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    Find the most reliable AI agent for any task. Search 2,000+ agents across A2A and MCP with quality filters — min uptime, max latency, score thresholds. Check if an agent is alive before routing to it. Like Artificial Analysis, but for agent services.
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    MIT
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    MapRag is a discovery + routing layer for retrieval. It indexes RAG-capable MCP servers, enriches them with structured metadata, and helps agents (and humans) quickly find the right retrieval server for a task under constraints like citations, freshness, privacy, domain, and latency. MapRag does not do RAG itself. It helps you choose the best RAG tool/server to do the retrieval.
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    Exposes the Exa web search API as an MCP server, providing tools for web searching, content retrieval, and similar page discovery. It also supports advanced features like AI-generated answers and automated research task management.
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    A Model Context Protocol server providing access to WeWork project management data, enabling project search, task analysis, and statistics retrieval through Claude and other LLM clients.
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    SEO + GEO MCP server: live Google Search Console & GA4 data, keyword and page analysis, AI-visibility tracking across ChatGPT, Claude, Gemini & Perplexity, site audit and SEO task management — all from chat.
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    Enables AI assistants to interact with Meilisearch through a standardized interface, supporting index and document management, search capabilities, settings configuration, task monitoring, and experimental vector search.
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