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qualityA server implementation that allows AI assistants to read, create, and manipulate notes in Obsidian vaults through the Model Context Protocol.
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TypeScript
MIT License
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Why this server?
This server is an MCP implementation that allows AI assistants to read, create, and manipulate notes in Obsidian vaults.
Why this server?
This server connects Claude Desktop to Markdown notes in a directory, such as an Obsidian vault.
Why this server?
This server enables semantic search and retrieval of documentation using a vector database (Qdrant). While not ChromaDB, it provides similar functionality.
Why this server?
Similar to MCP-Ragdocs, this server offers vector-based documentation retrieval. While not ChromaDB specifically, it could be adapted to integrate with it.
Why this server?
Like MCP-Ragdocs, this provides documentation retrieval through vector search, potentially adaptable to ChromaDB.
Why this server?
This server helps augment responses with relevant documentation through semantic vector search, which could be integrated with ChromaDB.
Why this server?
Enables AI assistants to interact with Obsidian vaults, offering tools for reading, creating, editing, and managing notes and tags.
Why this server?
Connects AI models with Obsidian knowledge bases, allowing them to directly access and manipulate Obsidian notes and folder structures.
Why this server?
Enables AI assistants to interact with Obsidian vaults, providing tools for reading, creating, editing, and managing notes and tags.
Why this server?
This server manages and summarizes text notes, offering tools for note creation and summarization prompts, which can be useful for memory management.