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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
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    Connects your Zotero research library with Claude and other AI assistants via the Model Context Protocol, allowing you to search your library, access content, discuss papers, get summaries, and analyze citations.
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    4,362
    MIT
  • A
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    Integrates with Zotero's local API to search, retrieve, read PDFs, and add items by DOI from your Zotero library.
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    MIT
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    Enables interaction with Zotero libraries for searching, managing collections, items, tags, and attachments, plus optional semantic search across PDFs via local embeddings.
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    MIT
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    MCP server that grants AI tools read-only access to a Zotero library via search, citekey lookup, and on-demand fulltext retrieval, with low token usage and support for Claude Code, Claude Desktop, and Codex.
    Last updated
    MIT
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    An MCP server that embeds into Zotero, enabling AI agents to search, manage, enrich metadata, import papers, and automate research workflows through 42 tools including PDF retrieval and annotation synthesis.
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    3
    MIT
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    Enables AI assistants to search and retrieve metadata, abstracts, and notes from a user's Zotero library through tools like search, get item, and list collections.
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    This server allows users to interact with their Zotero library through the Model Context Protocol, providing tools for searching items, retrieving metadata, and accessing full text using natural language queries.
    Last updated
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    158
    MIT
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    A Zotero library management MCP server designed for Cloudflare Workers that enables searching, reading, and writing library items. It allows users to manage metadata, full-text content, and attachments through natural language interactions.
    Last updated
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    MIT
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    Enables searching and reading full text of papers in a Zotero library by converting PDF attachments to Markdown and exposing a full-text search index to LLM tools.
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    MIT
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    Enables AI assistants to search YouTube for videos, channels, and playlists while retrieving detailed analytics and metrics through the YouTube Data API v3. Supports advanced filtering options and provides comprehensive statistics for content discovery and analysis.
    Last updated
    1
    MIT