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vibops-mcp
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vibops-mcp

Active·★ 19·MIT·Updated 2026-10-22

Vibops-mcp is a provider-agnostic Multi-Cloud Control Plane (MCP) server designed to abstract the complexity of managing GPU infrastructure across diverse environments like AWS, GCP, Azure, and on-prem. It offers a single interface and a suite of over 70 tools to observe, operate, govern, and optimize entire GPU fleets for AI workloads, regardless of their underlying provider.

#GPU Infrastructure Management#Multi-Cloud Control Plane#AI FinOps#Observability#Workflow Automation#LLM Infra
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$ Install
$ pip install git+https://github.com/VibOpsai/vibops-mcp.git
↗ Visit site★ GitHub
01

Features

01Unified observation of GPU utilization, workload breakdown, and cost estimates across all providers.
02Automated actions for deploying and scaling AI models, running Kubernetes/Helm commands, and managing Slurm jobs.
03Comprehensive governance features including anomaly detection, AI Act compliance reporting, and immutable audit logs.
04Advanced FinOps capabilities for budget tracking, chargeback, spend trend analysis, and waste identification for GPU resources.
05An Agent Infrastructure Control Plane for granular FinOps, model access control, and identity management for AI agents.
02

Compatibility

Python
Runtime
Verified via docs
Multi-Cloud
Cloud Platforms
Verified via docs
Kubernetes
Orchestration
Verified via docs
AI Agent Frameworks
Integration
Verified via docs
LLM Inference Servers
Proxy Target
Verified via docs
03

Quick start

1
$ pip install git+https://github.com/VibOpsai/vibops-mcp.git
04

Use cases

↳Monitor and analyze GPU utilization and cost trends across heterogeneous cloud and on-prem environments.
↳Automate the deployment and scaling of AI models on Kubernetes or Slurm clusters.
↳Ensure compliance with regulations like the AI Act or SOC 2 by generating comprehensive reports and managing audit logs.
↳Identify and resolve idle GPU resources and optimize spending through waste analysis and budget tracking.
↳Manage and track GPU costs, model access, and identities for multiple AI agents within an organization.
05

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VibOpsai /
vibops-mcp
↗

74 MCP tools for GPU infrastructure + Agent FinOps — deploy LLMs, track cost per agent, enforce budgets and model policies. Works with Claude, Cursor, n8n, LangChain.

19MIT
Last commit1d ago
StatusActive
CategoryMulti-Agent
Links
Documentation↗Discussion↗Issues↗Releases↗
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