Which integrations are available for this server?

Provides comprehensive integration with Obsidian knowledge bases, offering 25 tools for note management (create, read, update, delete), folder operations, full-text search, intelligent auto-linking, tag management, template systems, AI-powered content analysis, and knowledge graph generation.

How do I use Enhanced Obsidian MCP Server?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Enhanced Obsidian MCP Server search my vault for notes about machine learning" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

Enhanced Obsidian MCP Server - 25 Advanced AI Tools

npm version License: MIT Node.js Version

English | 中文

🚀 Overview

The Enhanced Obsidian MCP Server is a powerful Model Context Protocol (MCP) server designed for seamless integration between AI models and Obsidian knowledge bases. Provides 25 powerful tools for intelligent knowledge management, automated content analysis, and smart linking capabilities.

✨ Core Features

🔗 Seamless Obsidian Integration: Direct access to Obsidian knowledge base through MCP protocol
📝 Complete Note Management: Read, create, update, and delete notes with advanced text replacement features
📁 Folder Operations: Create, rename, move, and delete folders with full hierarchy support
🔍 Intelligent Search: Full-text search across all file types with smart scoring
🤖 AI Analysis: Revolutionary strategic insights using TF-IDF framework
🔗 Auto Backlink Generation: Revolutionary intelligent detection of note names and conversion to wikilinks
⚡ Precise Editing: Advanced PATCH operations with heading and block-level positioning
🚀 Dual API Strategy: Obsidian REST API combined with file system fallback for maximum reliability
🎯 Context Optimization: Intelligent content summarization for LLM context length management
📊 Batch Processing: Efficient bulk operations with progress tracking

✨ New Features

🧠 15 New AI-Enhanced Tools for intelligent content analysis
🔗 Smart Auto-Linking with advanced pattern recognition
📊 Knowledge Graph Generation for visualizing note relationships
🏷️ Advanced Tag Management with intelligent suggestions
📝 Template System for consistent note creation
🔍 Content Similarity Analysis using TF-IDF and cosine similarity
📈 Relationship Analysis for discovering hidden connections

🛠️ Complete Tool Suite (25 Tools)

📚 Core Note Management (10 Tools)

📄 Note Operations

Tool	Description	Detailed Functionality
`list_notes`	List all notes in vault with optional folder filtering	Browse vault contents, filter by specific folders, get note metadata (size, dates, paths)
`read_note`	Read individual note content	Retrieve complete note content with metadata, file statistics, and modification history
`read_multiple_notes`	Batch read multiple notes simultaneously	Efficiently load multiple notes at once, perfect for content analysis or bulk operations
`create_note`	Create new notes with content	Generate new markdown files with specified content, automatic directory creation
`update_note`	Advanced content editing with precise positioning	Edit notes with surgical precision - replace text, insert at specific positions, delete sections
`delete_note`	Remove notes from vault	Safely delete notes with confirmation, maintains vault integrity
`move_note`	Rename or relocate notes	Move notes between folders, rename files, automatic link updates

📁 Folder & Organization

Tool	Description	Detailed Functionality
`manage_folder`	Full folder operations (create/rename/move/delete)	Complete folder management - create nested structures, reorganize vault hierarchy
`search_vault`	Full-text search across all content	Powerful search with regex support, context snippets, relevance scoring
`auto_backlink_vault`	Intelligent auto-linking with pattern recognition	Scan entire vault, detect note names in content, convert to [[wikilinks]] automatically

🏷️ Tag Management System (3 Tools)

Tool	Description	Detailed Functionality
`add_tags`	Add multiple tags to notes	Insert hashtags into note frontmatter or content, support for nested tags (e.g., #project/web)
`list_tags`	List all tags with usage statistics	Comprehensive tag inventory with usage counts, sorting options, tag hierarchy analysis
`search_by_tags`	Advanced tag-based search with AND/OR operators	Complex tag queries - find notes with specific tag combinations, Boolean logic support

📝 Template System (4 Tools)

Tool	Description	Detailed Functionality
`create_template`	Create reusable note templates with variables	Design dynamic templates with {{variables}}, support for dates, titles, custom placeholders
`list_templates`	Browse available templates	View all saved templates with metadata, usage statistics, and variable information
`apply_template`	Apply templates with variable substitution	Generate new notes from templates, automatic variable replacement, custom value injection
`delete_template`	Remove unused templates	Clean up template library, maintain template organization

🧠 AI Content Analysis (4 Tools)

Tool	Description	Detailed Functionality
`extract_keywords`	Extract key terms using TF-IDF algorithm	Identify important keywords and phrases, statistical relevance scoring, configurable result count
`generate_summary`	Create intelligent content summaries	Automatic text summarization, extractive summary generation, customizable length
`suggest_tags`	AI-powered tag recommendations	Analyze content and suggest relevant tags, learn from existing tagging patterns
`find_similar_notes`	Discover similar content using cosine similarity	Content-based similarity matching, semantic analysis, threshold-based filtering

📊 Knowledge Graph & Analytics (4 Tools)

Tool	Description	Detailed Functionality
`analyze_note_relationships`	Comprehensive relationship mapping	Map connections between notes, analyze link patterns, identify knowledge clusters
`generate_knowledge_graph`	Export graph data for visualization tools	Generate network data in JSON/Cytoscape formats, node/edge definitions, ready for D3.js/Gephi
`find_orphan_notes`	Identify isolated content	Detect notes without links, find disconnected content, vault completeness analysis
`suggest_connections`	AI-powered connection recommendations	Recommend potential links based on content similarity, discover hidden relationships

🚀 Quick Start

Option 1: NPM Installation (Recommended)

Install globally:

npm install -g @jianruidutong/obsidian-mcp

Or use npx (no installation required):

npx @jianruidutong/obsidian-mcp

Option 2: From Source

Clone and build:

git clone https://github.com/jianruidutong/obsidian-mcp.git cd obsidian-mcp npm install npm run build npm start

Option 3: Docker Installation

Quick start with Docker:

git clone https://github.com/jianruidutong/obsidian-mcp.git cd obsidian-mcp cp .env.example .env # Edit .env with your vault settings docker-compose up -d

📚 For detailed installation instructions, see

⚙️ Configuration

MCP Client Configuration

Option 1: NPM Installation Configuration

{ "mcpServers": { "obsidian-mcp": { "command": "npx", "args": ["-y", "@jianruidutong/obsidian-mcp"], "env": { "OBSIDIAN_VAULT_PATH": "/path/to/your/vault", "OBSIDIAN_API_TOKEN": "your_api_token", "OBSIDIAN_API_PORT": "27123" } } } }

Option 2: Source Installation Configuration

{ "mcpServers": { "obsidian-mcp": { "command": "node", "args": ["/path/to/obsidian-mcp/build/index.js"], "env": { "OBSIDIAN_VAULT_PATH": "/path/to/your/vault", "OBSIDIAN_API_TOKEN": "your_api_token", "OBSIDIAN_API_PORT": "27123" } } } }

Option 3: Docker Installation Configuration

{ "mcpServers": { "obsidian-mcp": { "command": "docker", "args": [ "exec", "-i", "obsidian-mcp-server", "npm", "start" ], "env": { "NODE_ENV": "production" } } } }

Note: For Docker, environment variables are configured in .env file or docker-compose.yml.

Environment Variables

Variable	Description	Required	Default
`OBSIDIAN_VAULT_PATH`	Path to your Obsidian vault	✅ Yes	-
`OBSIDIAN_API_TOKEN`	Local REST API token	✅ Yes	-
`OBSIDIAN_API_PORT`	API port number	🔧 Recommended	27123

🔧 For all configuration options, see

📋 Prerequisites

Node.js (v16 or higher)
Obsidian Desktop Application
Local REST API Plugin installed in Obsidian

Setting Up Obsidian Local REST API

Install the "Local REST API" plugin in Obsidian
Generate an API token in the plugin settings
Note the port number (default: 27123)
Ensure the plugin is enabled

📚 Documentation

📖 Installation Guide - Complete installation instructions for all methods
🔧 Configuration Reference - Detailed configuration options and troubleshooting
🛠️ API Documentation - Complete API reference for all 25 tools
🚀 Usage Examples - Practical examples and real-world scenarios

🤝 Contributing

We welcome contributions! Please see our Contributing Guide for details.

Development Setup

git clone https://github.com/jianruidutong/obsidian-mcp.git cd obsidian-mcp npm install npm run dev

🐛 Troubleshooting

Common Issues

Connection refused error:

Ensure Obsidian Local REST API plugin is installed and enabled
Verify the API token and port number
Check that Obsidian is running

Permission denied:

Verify vault path permissions
Ensure the API token has proper access rights

Environment variables not working:

Use the OBSIDIAN_ prefix for all environment variables
Restart your MCP client after configuration changes

🔍 For detailed troubleshooting, see

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🙏 Acknowledgments

Model Context Protocol by Anthropic
Obsidian Local REST API plugin
The original project address: https://github.com/newtype-01/obsidian-mcp

📞 Support

🐛 Report Issues
💬 Discussions

⭐ Star this repository if you find it useful! ⭐

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