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"Understanding Perplexity" matching MCP servers:

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    Open-source CLI + MCP server that asks real AI engines (ChatGPT, Claude, Gemini, Perplexity) real buyer questions and scores whether a brand or its products get recommended (AI visibility / GEO / AEO). Runs locally with your own API keys.
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    MIT
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    Cross-tool memory for AI that enables deterministic recall-first memory across multiple tools (Claude Code, Desktop, ChatGPT, etc.) with honest abstention when it doesn't know.
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    Apache 2.0
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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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    MIT
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    An MCP server that enables Claude and other LLM clients to access Hanzo AI platform capabilities and provide powerful code management tools for analyzing, modifying, and understanding projects.
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    MIT
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    Perplexity for social: ask what competitors are running across social and get answers grounded in real ad and creative data, not guesses.
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    Apache 2.0
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    Enables AI assistants to access contextual knowledge from multiple repositories through Sequa's Contextual Knowledge Engine. Provides architecture-aware code understanding and cross-repository context for more accurate, production-ready code generation.
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    MIT
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    A Model Context Protocol server that enhances AI agents by providing deep semantic understanding of codebases, enabling more intelligent interactions through advanced code search and contextual awareness.
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    MIT
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    Free AI citation readiness checker powered by Cited By AI's CPS® framework. Instantly scores any website 0-100 across structured data, meta tags, content quality, technical config, and AI signals. Returns a grade (A-F) and the top issues blocking AI citation in ChatGPT, Claude, Perplexity, Gemini, and Copilot. No auth required.
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    MIT
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    Connects MCP clients to databases like Snowflake, BigQuery, and Databricks through Alkemi's data platform, enabling natural language database queries with proper schema understanding and metadata management for consistent team-wide access.
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    MIT
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    MCP server that provides semantic-level analysis of Swift codebases to AI agents by integrating with Apple's SourceKit-LSP, enabling compiler-grade code understanding and cross-file navigation.
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