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"A guide for finding similarities in Obsidian note content" matching MCP servers:

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    Enables any MCP-compatible AI assistant to search, filter, and retrieve information from a local document collection using a hybrid search pipeline with vector, BM25, reranking, and LLM enrichment.
    4
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    Enables AI agents to access and manage project guidelines, documentation, and context through a structured content system with template support and workflow management.
    37
    MIT
  • A
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    An MCP server that enables AI agents to search, read, and create notes across six note-taking platforms (Feishu, Obsidian, Notion, Yuque, OneNote, Evernote) through a single unified interface.
    MIT
  • A
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    Extract content from URLs, documents, videos, and audio files using intelligent auto-engine selection. Supports web pages, PDFs, Word docs, YouTube transcripts, and more with structured JSON responses.
    2
    168
    MIT
  • A
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    A self-hosted MCP server with a management UI for reading, searching, editing, and organizing notes in an Obsidian vault, with OAuth and token authentication, git snapshots, and optional Obsidian Sync.
    3,697
    1
    MIT
  • A
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    A specialized Model Context Protocol server that enhances AI-assisted medical learning by connecting Claude Desktop to PubMed, NCBI Bookshelf, and user documents for searching, retrieving, and analyzing medical education content.
    7
    MIT
  • A
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    quality
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    MCP server exposing content contract validators (SEO.md, PRODUCTHUNT.md, LINKEDIN.md) as tools so AI agents can verify generated content against concrete rules without maintaining linters. It provides linting and JSON-LD export tools with config and content passed as parameters, not file paths.
    4
    MIT
  • A
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    Enables reading and verifying C2PA Content Credentials from images and videos through both embedded manifests and invisible watermarks. Supports direct filesystem access, URL checking, and provides structured provenance data including creator identity, AI generation info, and content authenticity.
    2
    MIT
  • A
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    quality
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    Enables AI agents to extract clean, structured web content (articles, tables, links, visual layouts) optimized for LLM token efficiency, with fast response times and optional JavaScript support.
    5
    81
    MIT
  • A
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    Enables AI clients to browse instruments, items, dimensions, expert assignments, and calculate Content Validity Index (CVI) via a standard MCP interface.
    11
    MIT
  • F
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    quality
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    An MCP server that uses AI to generate structured Asana project plans from diverse sources like text, PDFs, and meeting transcripts. It enables users to preview, generate, and directly sync detailed task lists, subtasks, and dependencies into Asana.
    1
  • A
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    quality
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    Enables AI assistants to interact with Obsidian vaults for creating, reading, searching, and managing notes, daily notes, TODOs, session reports, and backlinks through both stdio and HTTP/SSE transports.
    10
    3,697
    4
    MIT