Gaia X

Gaia-X is an enterprise-level AI application platform based on a new generation of AI paradigms. It solves the core pain points of enterprise AI products through an innovative technical architecture and provides core functions such as multi-agent collaboration, natural language RPA, and MCP protocol support.

Artificial intelligence chatbots Developer tools #Enterprise AI #Multi-agent collaboration #MCP protocol #Intelligent RPA .TypeScript

rating : 2.5 points

downloads : 20

update time : 2025-04-29

What is an MCP server?

The MCP server is a protocol server specifically designed for enterprise-level AI applications. It allows efficient collaboration between different AI models and services. Through MCP, you can achieve cross-model task processing and intelligent decision-making.

How to use the MCP server?

First, install the MCP server and configure your AI models. Then, call the MCP interface through the client to perform complex tasks without manually selecting each model.

Applicable scenarios

Suitable for enterprise scenarios that require multi-model collaborative work, such as customer service systems and data analysis platforms.

Main features

Support any community MCP serverEasily integrate MCP servers from different communities.

Independent sandbox environmentEnsure that each MCP server runs in an isolated environment to guarantee data security.

Dynamic form renderingAllow users to interactively modify and control the submitted content.

Advantages and limitations

Advantages

Powerful multi-model collaboration ability

High security with data isolation

Easy to expand and integrate

Limitations

High requirements for hardware resources

Initial configuration may be relatively complex

How to use

Install the MCP server

Download and install the MCP server locally or on a server.

Configure models and services

Set up the AI models and services you want to use.

Start the MCP server

Run the command to start the MCP server.

Usage examples

Customer service systemLeverage the MCP server to integrate multiple AI models and quickly respond to customer needs.

Data analysisConnect different data sources through the MCP server and generate visual reports.

Frequently Asked Questions

Does the MCP server support multiple programming languages?

How to ensure data security?

Related resources

GitHub repository

Get the MCP server source code and documentation

Official documentation

Deeply understand the MCP protocol and usage methods

🚀 Gaia-x: An AI Application Framework for Enterprises

Gaia-x is an AI application framework designed for enterprises. It aims to build the next - generation AI and computer interaction interface through multi - agent, infinite canvas, and plug - in design. It supports multiple operating systems, including Windows, MacOS, and Linux, and is compatible with the Docker environment.

🚀 Quick Start

Gaia-x provides a comprehensive solution for enterprise - level AI applications. With its rich features and flexible architecture, it can be quickly deployed in various enterprise scenarios.

✨ Features

Unified Authentication and User Management: Supports multiple authentication methods such as OAuth 2.0, LDAP, DingTalk, and Feishu.
Unified Model and Tool Management: Provides centralized backend configuration and authorization management functions.
Quota Management: Enables fine - grained control over user quotas and API calls.
Enterprise Internal Application Ecosystem: Builds MCP marketplace, Agent marketplace, and Task marketplace to support applications for specific complex tasks.
Business Reports: Generates comprehensive data analysis reports on user, model, and agent usage.

🔧 Technical Details

Project Architecture

Client

The client adopts a plug - in design and will gradually evolve towards a micro - kernel plug - in architecture similar to VS Code, supporting arbitrary extensions. The main technology stack includes:

Framework: Electron + React
Large Language Model UI: Ant Design X
Text Selection Monitoring Technology: C++ (Windows), Objective - C (MacOS)

Management Backend

The management backend only exists as an interactive UI and MCP management executor and does not directly handle model calls. The main technology stack includes:

Large Language Model Interaction: Eino framework + Self - developed multi - agent architecture
Management UI: Ant Design Pro (Refactored based on GVA backend page code)
API Service: Golang + Gin (Based on GVA framework)

MCP Server

Runs in an independent sandbox environment.
Supports implementation in Python and TypeScript.

Model Selection Reference

Computer Operation Models: Claude Sonnet 3.5+, CogAgent, UI - TARS, OpenAI computer - use.
Recommended ReAct Models: Claude Sonnet 3.5+, GPT 4o. (The DeepSeek v3 model performs poorly and is not recommended for critical tasks.)

📄 Acknowledgments

We would like to thank the following open - source projects and technology frameworks for their support:

The management API is developed based on Gin - Vue - Admin, which significantly reduces our development workload for the basic management backend.
We use the ByteDance open - source Eino framework to solve the basic integration and multi - agent architecture problems of large language model applications. We have conducted a large amount of secondary development on this basis and released it as Eino - X.
To solve the problem of running the MCP Server on the ordinary user client, we developed support based on the project mcp - runtime.

📄 License

This project is open - sourced under the MIT License.

📚 Documentation

For more help and support regarding the Gaia - x project, please visit our official documentation or join our developer community to build the future of AI with global developers!