Obsidian Github MCP
O

Obsidian Github MCP

Obsidian GitHub MCP is a protocol server that connects AI assistants with Obsidian knowledge bases on GitHub. It supports reading, searching, and analyzing note documents stored on GitHub, enabling intelligent access to knowledge bases and integration with project management.
2.5 points
5.5K

What is Obsidian GitHub MCP?

This is a Model Context Protocol (MCP) server that allows AI assistants to access Obsidian knowledge bases stored on GitHub. With this tool, you can easily enable AI assistants to read, search, and analyze your Obsidian notes and documents.

How to use Obsidian GitHub MCP?

Simply configure GitHub access permissions and then integrate it into an AI assistant that supports MCP to start using. You can access your knowledge base through simple commands or a graphical interface.

Applicable scenarios

Suitable for users who need to access and manage Obsidian knowledge bases on GitHub, including researchers, developers, students, etc. Applicable to scenarios such as research support, writing assistance, project management, and learning records.

Main features

GitHub repository access
Connect to any GitHub repository containing an Obsidian knowledge base to access knowledge content.
Type-safe implementation
Written in TypeScript, providing complete type definitions to ensure code stability and maintainability.
Input validation
Perform strict input validation through Zod to ensure the security of API calls.
Error handling
Provide clear error messages to help users quickly locate and solve problems.
MCP compatibility
Fully compatible with MCP hosts such as Claude, Cursor, Windsurf, and Cline.
Advantages
Convenient access and management of Obsidian knowledge bases on GitHub
Supports multiple AI assistants and is easy to integrate
Provides powerful search and query functions
Has good error handling and input validation mechanisms
Limitations
Requires GitHub access permissions and tokens
Only applicable to Obsidian repositories on GitHub
Requires a certain technical foundation for configuration

How to use

Install the server
Install the Obsidian GitHub MCP server using Smithery or npm.
Configure environment variables
Set the necessary GitHub access permissions and repository information.
Integrate into the MCP client
Add the server to your MCP client configuration.

Usage examples

Access daily notes
Get the content of daily notes for a specific date by specifying the file path.
Find files
Search for relevant files based on file names, paths, or content.
View knowledge base evolution
Track the commit history of the knowledge base to understand content changes.

Frequently Asked Questions

How to get a GitHub access token?
Why can't I find the file?
What permissions are required?
How to update the server?

Related resources

Model Context Protocol Documentation
The official documentation of the MCP protocol, introducing its architecture and design principles.
Smithery MCP Server Registry
The MCP server guide and release notes for the Smithery platform.
MCP TypeScript SDK Documentation
Detailed documentation of the MCP TypeScript SDK to help developers build MCP tools.
Obsidian Official Website
The official website of the Obsidian knowledge management application, where you can learn about its features and uses.

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "obsidianGithub": {
      "command": "npx",
      "args": ["-y", "obsidian-github-mcp"],
      "env": {
        "GITHUB_TOKEN": "your-github-token",
        "GITHUB_OWNER": "your-github-username",
        "GITHUB_REPO": "your-obsidian-vault-repo"
      }
    }
  }
}

{
     "mcpServers": {
       "obsidianGithub": {
         "command": "npx",
         "args": ["-y", "obsidian-github-mcp"]
       }
     }
   }
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
6.4K
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
6.2K
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
4.7K
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
4.9K
5 points
S
Security Detections MCP
Security Detections MCP is a server based on the Model Context Protocol that allows LLMs to query a unified security detection rule database covering Sigma, Splunk ESCU, Elastic, and KQL formats. The latest version 3.0 is upgraded to an autonomous detection engineering platform that can automatically extract TTPs from threat intelligence, analyze coverage gaps, generate SIEM-native format detection rules, run tests, and verify. The project includes over 71 tools, 11 pre-built workflow prompts, and a knowledge graph system, supporting multiple SIEM platforms.
TypeScript
5.3K
4 points
P
Paperbanana
Python
7.5K
5 points
B
Better Icons
An MCP server and CLI tool that provides search and retrieval of over 200,000 icons, supports more than 150 icon libraries, and helps AI assistants and developers quickly obtain and use icons.
TypeScript
6.4K
4.5 points
A
Assistant Ui
assistant - ui is an open - source TypeScript/React library for quickly building production - grade AI chat interfaces, providing composable UI components, streaming responses, accessibility, etc., and supporting multiple AI backends and models.
TypeScript
6.6K
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
34.6K
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
20.5K
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
24.7K
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
72.7K
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#
32.6K
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
63.9K
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
22.1K
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
96.9K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase