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    Enables AI agents to interact with Google NotebookLM through browser automation, supporting notebook management, source addition, question answering, and audio overview generation.
    2
    MIT
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    Enables transcription of audio files using Google Gemini AI and creates a searchable knowledge base, allowing users to ask natural language questions about content in meetings, podcasts, lectures, and other audio recordings.
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    An MCP server that audits a contract liability clause against a derived company standard, producing a verdict only when grounded in retrieved evidence and passing a faithfulness check. It abstains with 'insufficient-grounding' when evidence is too weak.
    3
    MIT
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    Enables interaction with Google's NotebookLM via the Model Context Protocol to manage notebooks, sources, and research tasks. Users can create, query, and summarize content, as well as generate artifacts like audio overviews and slide decks using natural language.
    32
    1
    MIT
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    A Model Context Protocol server for indexing and searching local document collections with hybrid BM25+vector search, optimized for Korean and English, supporting DOCX, PDF, audio, and more.
    MIT
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    The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
    411
    379
    MIT
  • A
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    Local-first MCP server enabling cross-modal search across text, images, documents, video, and audio transcripts. Provides 26 tools for ingesting, searching, and navigating local file systems with a 3-stage pipeline including reranking.
    3
    MIT
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    A local-first MCP server that indexes all your local files (text, code, images, audio, video) and provides hybrid search (BM25+embeddings) to retrieve only relevant chunks for AI tools, reducing token usage by over 57%.
    22
    AGPL 3.0
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    An MCP server that uses the Docling toolkit to convert various document formats, including PDFs, Office files, images, and audio, into clean Markdown for AI processing. It supports multiple processing pipelines like VLM and ASR with intelligent auto-detection and job queue management.
    2
    MIT