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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

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

LLM Gateway is a completely open-source, unified API gateway designed to efficiently route, manage, and analyze requests directed to various large language model providers such as OpenAI, Anthropic, and Gemini Enterprise Agent Platform, all through a single, OpenAI-compatible endpoint. It supports multiple providers, facilitating effortless migration and integration, while its dynamic model orchestration directs each request to the most suitable engine, providing a streamlined experience. Additionally, it includes robust usage analytics that allow users to monitor requests, token usage, response times, and costs in real-time, ensuring transparency and control. The platform features built-in performance monitoring tools that facilitate the comparison of models based on accuracy and cost-effectiveness, while secure key management consolidates API credentials under a role-based access framework. Users have the flexibility to deploy LLM Gateway on their own infrastructure under the MIT license or utilize the hosted service as a progressive web app, with easy integration that requires only a change to the API base URL, ensuring that existing code in any programming language or framework, such as cURL, Python, TypeScript, or Go, remains functional without any alterations. Overall, LLM Gateway empowers developers with a versatile and efficient tool for leveraging various AI models while maintaining control over their usage and expenses.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Claude Yes 
OpenAI Yes 
ChatGPT No 
Cursor Yes 
Gemini CLI Yes 
Gemini Enterprise Agent Platform No 
GitHub Yes 
Go No 
Google AI Studio No 
Mistral AI No 
Model Context Protocol (MCP) Yes 
Next.js No 
Notion Yes 
OpenAI Codex Yes 
PHP No 
Perplexity No 
Python No 
TypeScript No 
Visual Studio Code Yes 
kluster.ai No 

Integrations

Claude Yes 
OpenAI Yes 
ChatGPT Yes 
Cursor No 
Gemini CLI No 
Gemini Enterprise Agent Platform Yes 
GitHub No 
Go Yes 
Google AI Studio Yes 
Mistral AI Yes 
Model Context Protocol (MCP) No 
Next.js Yes 
Notion No 
OpenAI Codex No 
PHP Yes 
Perplexity Yes 
Python Yes 
TypeScript Yes 
Visual Studio Code No 
kluster.ai Yes 

Pricing Details

$10 per month
Free Trial No 
Free Version Yes 

Pricing Details

$50 per 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) Yes 
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

LLM Gateway

Country

United States

Website

llmgateway.io

Product Features

Product Features

Alternatives

Alternatives

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