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"Exploring RAG through defined workspaces" matching MCP servers:

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    MCP server that integrates with LM Studio to provide a search_notes tool, allowing the chat model to retrieve and answer from a local Obsidian vault.
    1
    MIT
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    Enables semantic search and reading of Obsidian Markdown notes through read-only MCP tools, allowing Claude to retrieve relevant passages from a local vault.
    MIT
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    Enables semantic search and retrieval over an Obsidian vault using local or API-based embeddings, allowing AI assistants to find notes by meaning, get related content, and pull context during conversations.
    13
    MIT
  • F
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    Enables semantic search and content retrieval from local Obsidian vaults through the Model Context Protocol. It allows AI assistants to query notes by meaning, filter by tags, and access full note content for enhanced knowledge integration.
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    A local-first Graph-RAG system combining ChromaDB with metadata-based graph relationships and Gemini 2.5 Flash for intelligent Q&A over Obsidian vaults, supporting MCP clients like Claude Desktop, Cursor, and Raycast.
    MIT
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    MCP server for local-first RAG over Obsidian vaults, enabling AI agents to search and ask questions about notes with grounded citations.
    MIT
  • A
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    A Python MCP server for note management with RAG capabilities, enabling adding, searching, asking questions, summarizing, and deleting notes, using PostgreSQL and ChromaDB with Google Gemini for embeddings and generation.
    MIT
  • F
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    Enables semantic search over an Obsidian vault using ChromaDB, allowing users to search, read, and list notes via natural language.
  • F
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    Enables interaction with Cubox through its CLI, allowing agents to manage bookmarks, highlights, and annotations via a single pass-through tool.
    1
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    Provides LLMs with access to molt-md, an encrypted markdown document hosting service, for managing and reading secure knowledge bases. It enables users to create, update, and organize encrypted documents into workspaces with full version control and end-to-end encryption.
    11
    1
    MIT
  • A
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    A convention-aware MCP server for managing markdown files with YAML schema validation. It enables AI agents to read, write, search, and validate markdown notes while enforcing user-defined conventions across directories like Obsidian vaults and documentation repositories.
    24
    8
    MIT
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    Enables LLMs to search and retrieve personal journal entries using RAG, and add new entries with date filtering and multiple vector stores.
    4
    2
    MIT
  • A
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    MCP server that provides read access to Microsoft Loop workspaces and pages by reusing your Loop web session, enabling listing, reading, and searching across Loop content without app registration.
    8
    26
    1
    MIT