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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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    A local stdio MCP server that enables AI tools to search a self-hosted Calibre library over SSH, supporting metadata queries, full-text search, and book details.
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    MIT
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    A Model Context Protocol (MCP) server for the Open Library API that enables AI assistants to search for book information.
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    MIT
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    An MCP server that enables interaction with Markdown knowledge bases, allowing users to search and retrieve content by tags, text, URL, or date range from their local markdown files.
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    Historical stock pattern intelligence for AI agents. Search 24M pre-computed chart pattern embeddings across 15K stocks and 10 years. 19 tools: pattern similarity search, forward returns, regime analysis, anomaly detection, sector rotation, earnings reactions, correlation shifts, scenario analysis, and more. Returns what happened historically when charts looked like this — compliance-safe
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    MIT
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    Enables access to LDS Gospel Library content and scriptures through the Model Context Protocol. Provides tools for searching and retrieving religious texts and study materials from the Church of Jesus Christ of Latter-day Saints.
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    A powerful MCP server for Facebook Ads Library that provides 15+ tools for competitive intelligence, creative analysis, and performance prediction, enabling users to search, monitor, and analyze advertising data.
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    MIT
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    Provides token-efficient semantic search and document retrieval by indexing PDFs, text, and markdown files into local notebooks using ChromaDB. It enables AI agents to query relevant passages from large documents through local embedding models like Hugging Face or Ollama.
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    MIT