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About

MCPTotal is a secure, enterprise-grade platform designed to manage, host, and govern MCP (Model Context Protocol) servers and AI-tool integrations in a controlled, audit-ready environment rather than letting them run ad hoc on developers’ machines. It offers a “Hub”, a centralized, sandboxed runtime environment where MCP servers are containerized, hardened, and pre-vetted for security. A built-in “MCP Gateway” acts like an AI-native firewall: it inspects MCP traffic in real time, enforces policies, monitors all tool calls and data flows, and prevents common risks such as data exfiltration, prompt-injection attacks, or uncontrolled credential usage. All API keys, environment variables, and credentials are stored securely in an encrypted vault, avoiding the risk of credential-sprawl or storing secrets in plaintext files on local machines. MCPTotal supports discovery and governance; security teams can scan desktops and cloud instances to detect where MCP servers are in use.

About

dstack is an orchestration layer designed for modern ML teams, providing a unified control plane for development, training, and inference on GPUs across cloud, Kubernetes, or on-prem environments. By simplifying cluster management and workload scheduling, it eliminates the complexity of Helm charts and Kubernetes operators. The platform supports both cloud-native and on-prem clusters, with quick connections via Kubernetes or SSH fleets. Developers can spin up containerized environments that link directly to their IDEs, streamlining the machine learning workflow from prototyping to deployment. dstack also enables seamless scaling from single-node experiments to distributed training while optimizing GPU usage and costs. With secure, auto-scaling endpoints compatible with OpenAI standards, it empowers teams to deploy models quickly and reliably.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Security teams, DevOps/IT operations, and development organizations searching for a solution to deploy MCP servers and AI-tool workflows across enterprise infrastructure

Audience

Machine learning teams and enterprises seeking a unified, cost-efficient orchestration layer to manage GPU-based development, training, and inference across cloud, Kubernetes, and on-prem environments

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

MCPTotal
Founded: 2021
Israel
mcptotal.io

Company Information

dstack
Founded: 2022
Germany
dstack.ai/

Alternatives

Alternatives

HashiCorp Vault

HashiCorp Vault

HashiCorp
k0rdent

k0rdent

Mirantis

Categories

Categories

Integrations

Microsoft Azure
Amazon API Gateway
Facebook Ads
Google Cloud Platform
Grep
HubSpot CRM
Instant
Kubernetes
Metabase
MongoDB
Netlify
Notion
Novita AI
Okta
Oracle Cloud Infrastructure
SQLite
ScrapeGraphAI
Semrush
Shodan
Short.io

Integrations

Microsoft Azure
Amazon API Gateway
Facebook Ads
Google Cloud Platform
Grep
HubSpot CRM
Instant
Kubernetes
Metabase
MongoDB
Netlify
Notion
Novita AI
Okta
Oracle Cloud Infrastructure
SQLite
ScrapeGraphAI
Semrush
Shodan
Short.io
Claim MCPTotal and update features and information
Claim MCPTotal and update features and information
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