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Average Ratings 0 Ratings
Description
DeployStack is an enterprise-oriented management platform for Model Context Protocol (MCP) that aims to centralize, secure, and enhance the governance of MCP servers and AI tools within organizations. It features a unified dashboard that allows for the management of all MCP servers, incorporating centralized credential vaulting to eliminate the need for scattered API keys and manual configuration files, while also implementing role-based access control, OAuth2 authentication, and top-tier encryption to ensure secure enterprise operations. The platform provides detailed usage analytics and observability, delivering real-time insights into the utilization of MCP tools, including user access patterns and frequency, alongside comprehensive audit logs to support compliance and visibility into costs. Additionally, DeployStack optimizes token and context window management, enabling Large Language Model (LLM) clients to utilize significantly fewer tokens by employing a hierarchical routing system for accessing multiple MCP servers, thus maintaining model performance without compromise. This innovative approach not only streamlines operations but also empowers organizations to efficiently manage their AI resources while ensuring security and compliance.
Description
EidoStack serves as an online platform designed for AI engineers to engage with, assess, contrast, and choose the most suitable AI models prior to their implementation. It allows users to utilize AI models for routine discussions and development activities, enabling the testing of identical prompts across various models while facilitating side-by-side comparison of their responses. Additionally, it offers insights into token utilization, projected expenses, performance metrics, and contextual behavior. With features like adjustable system prompts, context management strategies, chat logs, model comparisons, and usage analytics, EidoStack empowers developers to effectively navigate multiple AI models and make well-informed choices about the ideal model for their specific applications. This comprehensive approach not only enhances productivity but also optimizes the selection process for AI solutions in diverse environments.
API Access
Has API
Yes
API Access
Has API
No
Screenshots View All
No images available
Integrations
Claude
Yes
Cursor
Yes
Figma
Yes
Gemini CLI
Yes
GitHub
Yes
Google Cloud Platform
Yes
Google Drive
Yes
Model Context Protocol (MCP)
Yes
Notion
Yes
OpenAI
Yes
Integrations
Claude
No
Cursor
No
Figma
No
Gemini CLI
No
GitHub
No
Google Cloud Platform
No
Google Drive
No
Model Context Protocol (MCP)
No
Notion
No
OpenAI
No
Pricing Details
$10 per month
Free Trial
No
Free Version
Yes
Pricing Details
$10/month
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
DeployStack
Founded
2024
Country
United States
Website
deploystack.io
Vendor Details
Company Name
EidoStack
Founded
2026
Country
Ukraine
Website
eidostack.com