What is Ultra (Multi-AI Provider)?
Ultra (Multi-AI Provider) is a AI tool that Unified server providing access to OpenAI O3, Google Gemini 2.5 Pro, and Azure OpenAI models with automatic usage tracking, cost estimation, and nine specialized development tools for code analysis, d. It has a Nerq Trust Score of 46/100 (D). 268 GitHub stars. Published by https://github.com/realmikechong/ultra-mcp. Last analyzed May 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 0/100 — Maintenance activity is low
- ⚠️ Community: 268 stars, 0 downloads — Growing community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
What Ultra (Multi-AI Provider) Does
Ultra (Multi-AI Provider) is a mcp_server in the AI tool category. Unified server providing access to OpenAI O3, Google Gemini 2.5 Pro, and Azure OpenAI models with automatic usage tracking, cost estimation, and nine specialized development tools for code analysis, debugging, and documentation generation.. It is published by https://github.com/realmikechong/ultra-mcp and has no specified license. With 268 GitHub stars and 0 downloads, it has a growing community of users and contributors.
Who Should Use Ultra (Multi-AI Provider)
Ultra (Multi-AI Provider) is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.
Details
| Author | https://github.com/realmikechong/ultra-mcp |
|---|---|
| Category | AI tool |
| License | Not specified |
| Type | mcp_server |
| Source | View on GitHub |
| Security Score | 0/100 |
| Activity Score | 0/100 |
How to Get Started
Check the trust score before installing:
curl nerq.ai/v1/preflight?target=ultra-multi-ai-provider
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| MarkItDown | 74 | 92.8K |
| Mobile Device Control | 74 | 4.2K |
| Container Use | 77 | 3.7K |
| Sourcebot | 77 | 3.2K |
| azure | 70 | 2.7K |
Frequently Asked Questions
Last updated May 2026. Trust scores based on automated analysis of public data.