About Suse AI Up
Suse AI Up is an MCP server published by SUSE in the AI category: a comprehensive platform for managing and proxying Model Context Protocol (MCP) servers, providing scalable AI service orchestration across multiple microservices. It has been installed 0 times through Conduid.
The repository has 22 stars and 8 forks, with the last commit 7 months ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues (0) before depending on it in production.
Install
npx suse-ai-upThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
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README
SUSE AI Universal Proxy
A comprehensive, modular MCP (Model Context Protocol) proxy system that enables secure, scalable, and extensible AI model integrations.
🚀 Key Capabilities
🔄 MCP Proxy Service - Full-featured HTTP proxy for MCP servers with advanced session management, authentication, and protocol translation.
🔍 Network Discovery - Automated network scanning to discover MCP servers, detect authentication types, and assess security vulnerabilities.
📚 Server Registry - Curated registry of MCP Servers, including GitHub, SUSE MCP's, Atlassian, Gitea, and 20+ other popular services (yes you may contribute to the list!).
🔌 Plugin Management - Dynamic plugin system for extending functionality with service registration, health monitoring, and capability routing.
📖 Documentation
- QUICKSTART - Get started quickly with SUSE AI Universal Proxy
- REGISTRY - Learn about MCP server registry management
- SECURITY - Security guidelines and best practices
- AUTHENTICATION - Authentication and authorization options
🏗️ Architecture
The system uses a main container + sidecar architecture where services run as coordinated containers within a single Kubernetes pod:
┌─────────────────────────────────────────────────────────────┐
│ SUSE AI Universal Proxy │
│ │
│ ┌─────────────────────────────────────────────────────────┐ │
│ │ UNIFIED SERVICE │ │
│ │ │ │
│ │ • MCP Proxy with session management │ │
│ │ • Server registry and discovery │ │
│ │ • Plugin management and orchestration │ │
│ │ • Authentication and authorization │ │
│ │ │ │
│ │ HTTP: 8911 | HTTPS: 3911 │ │
│ └─────────────────────────────────────────────────────────┘ │
│ │
│ ┌─────────────┐ │
│ │ PLUGINS │ │
│ │ (External) │ │
│ │ │ │
│ │ Variable │ │
│ │ Ports │ │
│ └─────────────┘ │
└─────────────────────────────────────────────────────────────┘
🏃♂️ Quick Start
Setup SUSE AI Universal Proxy (Helm installation)
- Open a local terminal
- Clone the repository:
https://github.com/suse/suse-ai-up(branch: main) - enter in the folder
suse-ai-up - In values.yaml, set:
service.type: LoadBalancerauth.method: development(for no auth)
Install using the helm chart:
helm install suse-ai-up ./charts/suse-ai-up
- Wait for the installation to be completed
Get Service IP
kubectl get svc suse-ai-up-service -n suse-ai-up -o jsonpath='{.status.loadBalancer.ingress[0].ip}'
(Alternative) Setup SUSE AI Universal Proxy (in Rancher)
- In Rancher, add repository:
https://github.com/suse/suse-ai-up(branch: main) - Go to Apps → Charts
- Find and install "SUSE AI Universal Proxy"
- Click Install and wait for completion
Setup SUSE AI Universal Proxy UI
- In Rancher, add repository:
https://github.com/suse/suse-ai-up-ext(branch: v0.1.0) - Go to Extensions
- Find and install "SUSE AI Universal Proxy"
Verify Installation and Access Swagger Docs
Access API documentation:
http://{IP ADDRESS}:8911/docs/index.html
Local Development
git clone https://github.com/suse/suse-ai-up.git
cd suse-ai-up
go run ./cmd/uniproxy
Universal Proxy require Kubernets so the ideal development way is to deploy the helm chart in kubernetes
📋 Service Overview
🔄 SUSE AI Universal Proxy
- Purpose: Unified MCP proxy service with integrated registry, discovery, and plugin management
- Features:
- MCP protocol proxy with session management
- Integrated server registry and catalog
- Network discovery and automatic server detection
- Plugin orchestration and lifecycle management
- Authentication and authorization
- TLS encryption support
- Ports: HTTP 8911, HTTPS 3911
- Architecture: Single unified service replacing separate microservices
🔌 External Plugins
- Purpose: Extensible plugin system for additional MCP server integrations
- Features: External plugin registration, health monitoring, custom MCP server types
- Ports: Variable (configured per plugin)
- Integration: Register with main proxy service via API
🚀 Quick Examples
Check the file EXAMPLES.md
🤝 Contributing
We welcome contributions! Please see our Contributing Guide for details.
📄 License
Licensed under the Apache License, Version 2.0. See LICENSE for details.
🆘 Support
- Issues: GitHub Issues
- Discussions: GitHub Discussions
SUSE AI Universal Proxy - Making AI model integration secure, scalable, and simple.
README mirrored from the source repository yesterday. The original is authoritative.