Core
OpenSumi is a framework that helps quickly build AI - native IDE products. It supports cloud and desktop development environments and provides rich example projects and templates.
rating : 5 points
downloads : 3.4K
What is the MCP server?
The MCP server is a platform that supports AI model collaboration. It manages model context data through a unified protocol to promote seamless collaboration among teams.How to use the MCP server?
After installing and starting the MCP server, you can connect via the client and upload model data to achieve sharing and synchronization between models.Applicable scenarios
Suitable for multi - team collaborative development, model version management, and cross - project model sharing.Main Features
Model Context ManagementCentrally store and manage the context data required for model runtime.
Multi - Terminal CollaborationSupport multiple clients to connect and operate model data simultaneously.
Version ControlRecord the historical versions of the model context for easy backtracking and comparison.
Advantages and Limitations
Advantages
Improve team collaboration efficiency
Reduce repetitive work
Ensure model consistency
Limitations
Require a stable network environment
Have certain requirements for hardware resources
How to Use
Download and Install the MCP Server
Visit the official website to download the latest version of the MCP server installation package.
Start the MCP Server
Unzip the installation package and execute the startup script.
Connect the Client
Configure the server address on the client and complete the connection.
Usage Examples
Multi - Person Collaborative DevelopmentMultiple developers share the same model context to jointly debug and optimize the model.
Model Version BacktrackingRecord the historical versions of the model context and quickly restore to a specific version.
Frequently Asked Questions
Does the MCP server support cloud deployment?
How to check the status of the MCP server?
Related Resources
Official Documentation
Detailed user manuals and technical guides.
GitHub Code Repository
Open - source code and contribution guidelines.
Video Tutorial
Quick - start video.
Featured MCP Services

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
1.7K
5 points

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
75
4.3 points

Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
820
4.3 points

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
124
4.5 points

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#
551
5 points

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
6.6K
4.5 points

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
743
4.8 points

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
5.2K
4.7 points