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
5.2K

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

R
Rsdoctor
Rsdoctor is a build analysis tool specifically designed for the Rspack ecosystem, fully compatible with webpack. It provides visual build analysis, multi - dimensional performance diagnosis, and intelligent optimization suggestions to help developers improve build efficiency and engineering quality.
TypeScript
9.0K
5 points
N
Next Devtools MCP
The Next.js development tools MCP server provides Next.js development tools and utilities for AI programming assistants such as Claude and Cursor, including runtime diagnostics, development automation, and document access functions.
TypeScript
9.6K
5 points
T
Testkube
Testkube is a test orchestration and execution framework for cloud-native applications, providing a unified platform to define, run, and analyze tests. It supports existing testing tools and Kubernetes infrastructure.
Go
6.4K
5 points
M
MCP Windbg
An MCP server that integrates AI models with WinDbg/CDB for analyzing Windows crash dump files and remote debugging, supporting natural language interaction to execute debugging commands.
Python
8.8K
5 points
R
Runno
Runno is a collection of JavaScript toolkits for securely running code in multiple programming languages in environments such as browsers and Node.js. It achieves sandboxed execution through WebAssembly and WASI, supports languages such as Python, Ruby, JavaScript, SQLite, C/C++, and provides integration methods such as web components and MCP servers.
TypeScript
7.7K
5 points
N
Netdata
Netdata is an open-source real-time infrastructure monitoring platform that provides second-level metric collection, visualization, machine learning-driven anomaly detection, and automated alerts. It can achieve full-stack monitoring without complex configuration.
Go
9.7K
5 points
M
MCP Server
The Mapbox MCP Server is a model context protocol server implemented in Node.js, providing AI applications with access to Mapbox geospatial APIs, including functions such as geocoding, point - of - interest search, route planning, isochrone analysis, and static map generation.
TypeScript
8.9K
4 points
U
Uniprof
Uniprof is a tool that simplifies CPU performance analysis. It supports multiple programming languages and runtimes, does not require code modification or additional dependencies, and can perform one-click performance profiling and hotspot analysis through Docker containers or the host mode.
TypeScript
7.3K
4.5 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
19.3K
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
30.7K
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
64.5K
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
22.2K
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#
27.4K
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
59.6K
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
20.2K
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
43.1K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase