This MCP server facilitates interaction between AI language models and Obsidian vaults, providing secure, token-aware tools for file management, search, and property editing through a unified interface. It supports full-text searches, YAML frontmatter handling, and resource monitoring, making knowledge base management seamless for AI integrations.
This MCP server facilitates interaction between AI language models and Obsidian vaults, providing secure, token-aware tools for file management, search, and property editing through a unified interface. It supports full-text searches, YAML frontmatter handling, and resource monitoring, making knowledge base management seamless for AI integrations.
What is Model Context Protocol (MCP) server for Obsidian?
The Obsidian MCP Server is a Model Context Protocol server designed for LLMs to interact with Obsidian note-taking vaults. It offers comprehensive features including secure API communication, file operations like listing, reading, appending, and patching files, as well as advanced search capabilities such as full-text search and JsonLogic-based queries. Additionally, it manages note properties with YAML parsing, timestamps, and custom fields. Built with TypeScript, it supports environment-based configuration, rate limiting, and error handling, enabling AI agents to navigate and manage large knowledge bases efficiently and securely.
Who will use Model Context Protocol (MCP) server for Obsidian?
AI developers and researchers
Obsidian power users
Knowledge management teams
Organizations using AI for information retrieval
How to use the Model Context Protocol (MCP) server for Obsidian?
Step 1: Enable Local REST API plugin in Obsidian
Step 2: Clone and build the MCP server from GitHub
Step 3: Configure environment variables with Obsidian API key and connection settings
Step 4: Run the server using Node.js
Step 5: Connect your MCP client with the server's endpoint and API key
Step 6: Use the provided tools for file management, search, and property updates via automated scripts or AI models
Model Context Protocol (MCP) server for Obsidian's Core Features & Benefits
The Core Features
File listing, reading, writing, and patching
Full-text and JsonLogic-based searches
Yaml frontmatter management
Timestamp and metadata handling
Token-aware API security
Rate limiting and resource monitoring
Flexible environment configuration
The Benefits
Secure and efficient knowledge base access for AI models
Seamless management of large Obsidian vaults
Automated file and property handling
Advanced search capabilities for metadata and content
Configurable security and performance features
Model Context Protocol (MCP) server for Obsidian's Main Use Cases & Applications
AI-powered knowledge base search and retrieval in Obsidian
Automated note management and property updates
Integrating Obsidian with large language models for research and data analysis
Building AI assistants for personal or organizational knowledge management
FAQs of Model Context Protocol (MCP) server for Obsidian