Test1
Each wiki file should store additional resources (such as images) corresponding to its path in the .resource directory and use git lfs for version management.
5 points
10.9K

What is an MCP server?

The MCP server is a server based on the Model Context Protocol, used for managing and processing model contexts. It allows users to efficiently store and manage resources related to wiki files, such as images, through Git LFS.

How to use the MCP server?

To use the MCP server, you need to map the path of the wiki file to the `.resource` directory and add the relevant resources to Git LFS for management.

Applicable scenarios

The MCP server is suitable for scenarios that require efficient management and version control of a large number of resource files, such as document management systems and knowledge bases.

Main features

Resource mapping
Automatically map the wiki file path to the `.resource` directory for convenient resource management.
Git LFS integration
Efficiently store and manage large file resources through Git LFS.
Version control
Support version control of resources for easy backtracking and collaboration.
Advantages
Efficiently manage large file resources
Seamlessly integrate with the Git ecosystem
Support version control and collaboration
Limitations
Requires Git LFS support
Relatively complex configuration
Depends on the Git repository structure

How to use

Initialize Git LFS
Initialize Git LFS in the project directory.
Track the resource directory
Configure Git LFS to track all files under the `.resource` directory.
Add resource files
Add resource files to the `.resource` directory and commit them to the Git repository.

Usage examples

Manage document images
Reference image resources in the wiki document and manage these images through the MCP server.
Team collaborative editing
Multiple team members collaborate to edit a wiki document containing a large number of resources.

Frequently Asked Questions

Why do I need to use Git LFS?
How can I view which files are managed by Git LFS?
Is the `.resource` directory mandatory?

Related resources

Git LFS official documentation
Official documentation and installation guide for Git LFS
MCP protocol specification
Detailed specification of the Model Context Protocol
Example project repository
An example project using the MCP server

Installation

Copy the following command to your Client for configuration
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
12.6K
4.3 points
A
AI Gateway
Documentation for resolving Pylance unresolved import warnings
Python
9.7K
5 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
13.2K
4 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
13.9K
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
13.2K
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
14.9K
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
11.2K
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
16.6K
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
14.8K
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
24.6K
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
44.0K
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#
19.2K
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
44.5K
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
14.8K
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
30.3K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2025AIBase