Obsidian MCP
O

Obsidian MCP

Obsidian MCP is a tool that interacts with the Obsidian knowledge base through the Model Context Protocol, supporting AI assistants to read, write, and manipulate notes.
2.5 points
9.3K

What is Obsidian MCP?

Obsidian MCP is a bridge connecting AI assistants and the Obsidian knowledge base. It provides a set of standardized interfaces that allow AI to safely access and modify the content of your notes, enabling intelligent knowledge management.

How to use Obsidian MCP?

You need to install Node.js and the Local REST API plugin for Obsidian first, and then configure the MCP server connection. AI assistants (such as Claude) can then interact with your knowledge base through this interface.

Use cases

It is suitable for scenarios that require AI assistance in organizing knowledge, automatically generating content, and intelligently searching for notes. For example, you can let AI help you summarize notes, establish knowledge associations, or automatically classify content.

Main features

Read notes
You can read the content of a specified note or the current active note.
List notes
Recursively list all files and folders in the entire knowledge base or a specified folder.
Modify notes
Add, prepend, or replace content in an existing note. It supports positioning by title, block reference, or frontmatter field.
Advanced search
Perform complex note searches using the JsonLogic format query syntax.
Advantages
The standardized interface enables different AI tools to interact with Obsidian.
Supports fine-grained note operations (modify by title/block).
Provides powerful search functions.
Running locally ensures data security.
Limitations
Requires the installation of Node.js and the Obsidian plugin.
Requires certain technical knowledge for initial configuration.
Currently only supports text content operations.

How to use

Install prerequisites
Ensure that Node.js 18 or a higher version is installed, and install and configure the Local REST API plugin in Obsidian.
Set up the MCP server
Clone the repository, install dependencies, and build the project.
Configure the AI application
Configure the MCP server connection information in the AI application (such as the Claude desktop version).
Create an.env file
Create an.env file in the project root directory and configure parameters such as the API key.

Usage examples

Let AI summarize the current note
AI can read the note you are editing and generate a concise summary.
Automatically organize meeting minutes
AI can automatically organize your meeting minutes according to a template.
Knowledge association discovery
AI can search for relevant knowledge and establish associations.

Frequently Asked Questions

Is Obsidian MCP secure?
Why is an API key required?
Which AI assistants are supported?
Will modifying a note overwrite the original content?

Related resources

Obsidian official website
The official website of the Obsidian note - taking software.
Local REST API plugin
The GitHub repository of the required Obsidian plugin.
Node.js download
The official website of Node.js.
JsonLogic syntax reference
Documentation for the JsonLogic query syntax.

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

A
Airweave
Airweave is an open - source context retrieval layer for AI agents and RAG systems. It connects and synchronizes data from various applications, tools, and databases, and provides relevant, real - time, multi - source contextual information to AI agents through a unified search interface.
Python
15.1K
5 points
V
Vestige
Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.
Rust
10.4K
4.5 points
M
Moltbrain
MoltBrain is a long-term memory layer plugin designed for OpenClaw, MoltBook, and Claude Code, capable of automatically learning and recalling project context, providing intelligent search, observation recording, analysis statistics, and persistent storage functions.
TypeScript
10.0K
4.5 points
B
Bm.md
A feature-rich Markdown typesetting tool that supports multiple style themes and platform adaptation, providing real-time editing preview, image export, and API integration capabilities
TypeScript
14.7K
5 points
H
Haiku.rag
Haiku RAG is an intelligent retrieval - augmented generation system built on LanceDB, Pydantic AI, and Docling. It supports hybrid search, re - ranking, Q&A agents, multi - agent research processes, and provides local - first document processing and MCP server integration.
Python
16.9K
5 points
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
15.5K
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
16.7K
4 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
39.0K
5 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
23.7K
4.5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
81.2K
4.3 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
27.2K
4.3 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
69.4K
4.5 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#
37.3K
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
24.9K
4.5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
56.2K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase