Obsidian MCP Server
O

Obsidian MCP Server

This is a server that connects the Obsidian note - taking software with the Model Context Protocol, providing template - based note creation, reading and updating, tag management, file search, and advanced link management functions, including creating links between notes, detecting and fixing broken links, analyzing backlinks, and automatically generating table of contents graphs.
2 points
4.9K

What is the Obsidian MCP Server?

The Obsidian MCP Server is a bridge tool that connects the Obsidian note - taking software with AI assistants (such as Claude). It allows AI to directly access your Obsidian knowledge base, enabling intelligent note management, content generation, and knowledge organization. Through this server, AI can help you create templated notes, manage tags, fix links, analyze knowledge graphs, etc.

How to use the Obsidian MCP Server?

Using the Obsidian MCP Server requires three steps: 1) Install and configure the server program; 2) Configure the connection in the AI client (such as Claude Desktop); 3) Use natural language instructions through the AI assistant to manage your Obsidian notes. The entire process does not require coding and can be started with simple configuration.

Applicable Scenarios

The Obsidian MCP Server is particularly suitable for the following scenarios: • Users who need AI assistance to organize a large number of notes • Those who hope to automate the note creation and management process • Those who need intelligent link management and knowledge graph analysis • Those who hope to interact with the note library through natural language • Teams that need unified note templates and structures in collaboration

Main Features

Intelligent Template Note Creation
Use predefined templates to quickly create structured notes, supporting variable substitution and custom output paths.
Note Content Management
Read, update, and search Obsidian notes, supporting full - text search and path matching.
Intelligent Tag Management
Manage note tags in batches, including tag listing, renaming, and classification organization.
Advanced Link Management
Create links between notes, detect and fix broken links, and analyze backlink relationships.
Knowledge Graph Analysis
Analyze the connection relationships between notes, calculate centrality indicators, and identify key concept nodes.
Automatic Table of Contents Generation
Automatically generate a Map of Contents (TOC note) based on the content, supporting grouping by tags or folders.
Advantages
Seamless integration: Natively compatible with Obsidian without disrupting the existing note structure
Intelligent assistance: AI - driven note management and content generation
Link intelligence: Automatically detect and fix connection relationships between notes
Knowledge discovery: Discover hidden knowledge associations through graph analysis
Easy to use: Natural language interaction without programming knowledge
Limitations
Requires configuration: Initial use requires certain technical configuration
Environment - dependent: Requires a Node.js runtime environment and correct path settings
AI - dependent: The function effect is affected by the capabilities of the connected AI model
File permissions: Requires read - write permissions to access the Obsidian library
Template limitations: Advanced functions require pre - designed appropriate templates

How to Use

Environment Preparation
Ensure that your system has Node.js (version 14 or higher) installed and prepare the access path to your Obsidian note library.
Install the Server
Download or clone the Obsidian MCP Server code, install the dependency packages, and compile the TypeScript code.
Configure Environment Variables
Set the environment variables for the Obsidian note library path and the template directory location.
Configure the AI Client
Add the server configuration in Claude Desktop or other MCP clients, specifying the server path and environment variables.
Start Using
Restart the AI client. Now you can manage Obsidian notes through natural language instructions.

Usage Examples

Intelligent Meeting Minutes Management
Use templates to quickly create standardized meeting minutes, automatically link relevant project documents, and update project status.
Knowledge Base Link Optimization
Analyze the link relationships in the note library, fix broken links, discover knowledge islands, and suggest connections.
Project Document Automation Organization
Automatically generate a table of contents note for a specific project and organize all relevant documents by tags or categories.
Tag System Refactoring
Rename and organize the tag system in batches to ensure tag consistency and searchability.

Frequently Asked Questions

Is the Obsidian MCP Server secure? Will it leak my note content?
Do I need programming knowledge to use this server?
Will the server affect my existing Obsidian plugins and settings?
Which AI clients are supported?
What if the server configuration fails?
Can I manage multiple Obsidian note libraries simultaneously?
How to create a custom template?
What is the server performance like? Will it be slow when processing a large number of notes?

Related Resources

Obsidian Official Website
Official documentation and community for the Obsidian note - taking software
Model Context Protocol Specification
Official technical specification and documentation for the MCP protocol
GitHub Project Repository
Source code and issue tracking for the Obsidian MCP Server
Claude Desktop Configuration Guide
Official usage and configuration documentation for Claude Desktop
Obsidian Template Library
A collection of Obsidian templates contributed by the community
MCP Client List
Officially maintained list of MCP servers and clients

Installation

Copy the following command to your Client for configuration
{
     "mcpServers": {
       "obsidian": {
         "command": "node",
         "args": ["/path/to/obsidian-mcp-server/dist/server.js"],
         "env": {
           "OBSIDIAN_VAULT_PATH": "/path/to/your/obsidian/vault",
           "OBSIDIAN_TEMPLATE_DIR": "TEMPLATE"
         }
       }
     }
   }

{
     "mcpServers": {
       "obsidian": {
         "command": "node",
         "args": ["/Users/username/Projects/obsidian-mcp-server/dist/server.js"],
         "env": {
           "OBSIDIAN_VAULT_PATH": "/Users/username/Documents/MyVault",
           "OBSIDIAN_TEMPLATE_DIR": "TEMPLATE"
         }
       }
     }
   }

{
     "mcpServers": {
       "obsidian": {
         "command": "/usr/local/bin/node",
         "args": ["/path/to/obsidian-mcp-server/dist/server.js"],
         "env": {
           "OBSIDIAN_VAULT_PATH": "/path/to/your/obsidian/vault",
           "OBSIDIAN_TEMPLATE_DIR": "TEMPLATE"
         }
       }
     }
   }
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

C
Cipher
Cipher is an open-source memory layer framework designed for programming AI agents. It integrates with various IDEs and AI coding assistants through the MCP protocol, providing core functions such as automatic memory generation, team memory sharing, and dual-system memory management.
TypeScript
0
5 points
A
Apple Notes MCP
A server that provides local Apple Notes database access for the Claude desktop client, supporting reading and searching of note content.
Python
12.2K
4.3 points
M
MCP Server Weread
The WeRead MCP Server is a lightweight service that bridges WeRead data and AI clients, enabling in - depth interaction between reading notes and AI.
TypeScript
12.0K
4 points
M
MCP Notion Server
Certified
The Notion MCP Server is a middleware service that connects the Notion API with the LLM, optimizing interaction efficiency through Markdown conversion.
TypeScript
15.9K
5 points
M
MCP Obsidian
This project is an MCP server used to interact with the Obsidian note application through the Local REST API plugin of Obsidian. It provides various tools to operate and manage files in Obsidian, including listing files, retrieving file content, searching, modifying content, and deleting files.
Python
14.8K
5 points
M
MCP Atlassian
MCP Atlassian is a Model Context Protocol server designed for Atlassian products (Confluence and Jira), supporting both cloud and on-premises deployments and providing AI assistant integration functions.
Python
14.0K
5 points
M
MCP Logseq Server
An MCP server for interacting with the LogSeq note-taking app, providing various API tools to operate on note content.
Python
16.0K
4.1 points
S
Solana Docs MCP Server
A TypeScript-based MCP server that implements a simple note system and supports note creation and summarization functions
TypeScript
12.8K
4.2 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
18.0K
4.3 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
17.4K
4.5 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
27.5K
5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
52.6K
4.3 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
22.2K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
50.0K
4.5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
17.1K
4.5 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
75.4K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2025AIBase