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"Integrating Obsidian with ChromaDB for Memory Management" matching MCP servers:

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    A live MCP server that connects AI assistants to a running Obsidian instance, enabling full app automation including reading notes, clicking UI elements, managing plugins, and executing JavaScript.
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    MIT
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    An MCP server that enables AI assistants to interact with Obsidian vaults by providing tools for note management, full-text search, and link analysis. It supports comprehensive file operations, frontmatter manipulation, and daily note creation while ensuring security through path validation.
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    Enables AI assistants to interact with Obsidian vaults, providing tools for reading, creating, editing and managing notes and tags.
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    MIT
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    An MCP server that exposes ChromaDB vector database operations, enabling AI assistants to perform collection management and semantic document searches. It supports HTTP, persistent, and in-memory connection modes along with various embedding providers including OpenAI and HuggingFace.
    MIT
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    Middleware that converts a serverless handler with OpenAPI spec into an MCP endpoint following stateless MCP principles.
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    MIT
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    Enables the management of a technical terminology glossary within an Obsidian vault by providing tools to add, search, and retrieve term definitions. It supports structured Markdown entries featuring both developer-focused and simplified explanations for efficient knowledge management.
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    Failure Memory provides AI coding agents with a shared local memory of failures, enabling them to record, recall, and learn from mistakes across sessions.
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    MIT
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    A Model Context Protocol server that wraps the official Obsidian CLI to allow AI agents to read, write, search, and manage notes within an Obsidian vault. It provides 16 specialized tools for comprehensive vault interaction, including note management, task tracking, and metadata manipulation.
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    Enables MCP clients to interact with Obsidian vaults via filesystem operations and optional REST API integration for advanced UI commands. It features multi-vault auto-discovery, concurrent-safe file handling, and comprehensive tools for searching, reading, and managing vault content.
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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.
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    Enables direct file system access to Obsidian vaults with auto-discovery, full-text search, and note operations. Supports reading, writing, and searching across Obsidian notes without requiring plugins or REST API.
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    MIT