A
license-
qualityB
maintenanceEnables 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
72,476 servers. Updated
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"Agentic RAG: Understanding or Exploring Its Meaning and Applications" matching MCP servers:
- AlicenseAqualityCmaintenanceMCP 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.1MIT
- Alicense-qualityCmaintenanceEnables semantic search over an Obsidian vault using natural language, retrieving relevant notes and extracted conclusions.MIT
- Alicense-qualityBmaintenanceEnables semantic search and reading of Obsidian Markdown notes through read-only MCP tools, allowing Claude to retrieve relevant passages from a local vault.MIT
- Alicense-qualityBmaintenanceA Model Context Protocol server that wraps Joplin's Data API, giving agents full CRUD over notes, notebooks, tags, and resources, plus search and revision history.MIT
- Flicense-qualityDmaintenanceProvides semantic search over Obsidian markdown notes using BAAI/bge-m3 embeddings and ChromaDB, accessible via the Model Context Protocol.
- Flicense-quality-maintenanceEnables 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.
- Alicense-qualityDmaintenanceA 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
- Flicense-qualityBmaintenanceEnables semantic search over personal markdown notes by indexing them into a vector database and exposing search, reindex, and status tools via MCP.
- AlicenseDqualityAmaintenanceA TypeScript-based MCP server that enables users to query financial news, stock data, and index information while managing text notes with creation and summarization capabilities.5561645MIT
- Alicense-qualityDmaintenanceEnables notes management, weather and news search, document ingestion and RAG-based semantic search using GroundX, with OpenAI GPT integration for summarization and completions.MIT
- Alicense-qualityBmaintenanceMCP server for local-first RAG over Obsidian vaults, enabling AI agents to search and ask questions about notes with grounded citations.MIT
- Alicense-qualityAmaintenanceA 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
- Alicense-qualityDmaintenanceTransforms Obsidian vaults into AI-powered knowledge bases using multi-layer RAG with advanced knowledge graph integration, enabling semantic search, entity extraction, and relationship mapping across personal notes.8MIT
- Flicense-qualityCmaintenanceEnables synchronization and management of FoundryVTT journal entries within a Notion Story Bible, including media export and conflict resolution tools. It provides a Model Context Protocol interface for LLMs to preview, apply, and monitor data mirroring between tabletop RPG platforms and digital databases.
- Flicense-qualityDmaintenanceEnables semantic search over an Obsidian vault using ChromaDB, allowing users to search, read, and list notes via natural language.
- AlicenseAqualityCmaintenanceEnables AI agents to store and retrieve project context, bugs, decisions, and session logs by reading and appending markdown files in a local Obsidian vault, without requiring any cloud services.6MIT
- Flicense-qualityCmaintenanceProvides AI clients with per-project todo management and persistent context notes via MCP, enabling task tracking and resume summaries.
- Flicense-qualityDmaintenanceEnables AI agents and users to manage workspace files, monitor system metrics, take persistent notes, and retrieve weather data via MCP tools and resources.