Obsidian MCP Server R3c
O

Obsidian MCP Server R3c

A Python - based Obsidian MCP standard IO server that provides Vault and file management functions and supports integration with LLM Agents.
2.5 points
10.3K

What is Obsidian MCP Server?

Obsidian MCP Server is a middleware service developed in Python that allows large language models (LLMs) to interact with the Obsidian note - taking software through standard protocols. It provides the ability to create, manage, and operate Obsidian Vaults and files.

How to use Obsidian MCP Server?

After installing the Python environment, configure the Vault path to start the service. LLM Agents can send requests through the JSON - RPC protocol to manage Obsidian content.

Use cases

Suitable for scenarios that require automated management of Obsidian notes, such as AI - assisted writing, automatic organization of knowledge bases, and team - collaborative content management.

Main features

Vault management
Supports creating, deleting, listing, and querying Obsidian Vaults
File operations
Provides complete file CRUD functions, including creating, reading, updating, and deleting note files
Configuration management
Supports querying and modifying Vault configuration settings
Advantages
Standardized interface: Uses the JSON - RPC 2.0 protocol, easy to integrate
Cross - platform support: Developed based on Python, supports mainstream operating systems
Comprehensive functions: Covers the core management functions of Obsidian
Limitations
Requires a Python environment: May increase the usage threshold for non - technical users
Only supports basic functions: Does not yet support advanced features such as plugin management
Performance limitations: May have insufficient performance during a large number of file operations

How to use

Environment preparation
Ensure that Python 3.7+ and the Obsidian software are installed
Install dependencies
Install the required Python packages in the project directory
Configure environment variables
Set OBSIDIAN_VAULT_PATH to point to your Vault directory
Start the service
Run the main program to start the MCP server

Usage examples

Automatically create study notes
The LLM automatically generates structured notes based on the learning content and saves them to the specified Vault
Initialize the team knowledge base
Automatically create a standard Vault structure for team collaboration

Frequently Asked Questions

How to view available API methods?
What if the service fails to start?
Which Obsidian plugins are supported?

Related resources

Obsidian official website
The official website of the Obsidian note - taking software
JSON - RPC 2.0 specification
The communication protocol specification used by the server
GitHub repository
Project source code and latest updates

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
9.4K
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
8.9K
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
15.7K
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
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
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
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#
38.3K
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
55.1K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase