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What is agnexus?

Agnexus stands out as a powerful platform dedicated to the deployment, hosting, management, and scaling of Model Context Protocol (MCP) servers, serving as standardized interfaces that facilitate effective interactions between AI agents such as Claude or ChatGPT and real-world data sources and services, thus amplifying their capacity to execute meaningful tasks within designated contexts. With a user-friendly one-click deployment feature, individuals can effortlessly upload their code or connect their GitHub repositories, while Agnexus takes care of all infrastructure, configuration, and backend tasks, freeing developers and teams from the complexities of handling Docker, Kubernetes, or cloud DevOps manually. Its model-agnostic design guarantees that any MCP server deployed by Agnexus can easily interface with any agent that adheres to the MCP standard, ensuring versatility across applications. Moreover, users gain access to enterprise-grade hosting functionalities, which include essential features such as auto-scaling, uptime service level agreements (SLAs), secure access keys with intricate permission configurations, along with extensive analytics and monitoring tools to effectively oversee usage and performance metrics. This comprehensive support framework empowers developers to concentrate on crafting cutting-edge applications, liberating them from the challenges associated with intricate infrastructure management. Ultimately, Agnexus not only streamlines the deployment process but also fosters innovation by allowing creators to focus on their core objectives.

What is PredictKube?

Elevate your Kubernetes autoscaling strategy from a reactive stance to a proactive framework with PredictKube, which empowers you to commence autoscaling actions ahead of expected demand surges through our sophisticated AI forecasts. Our AI model evaluates two weeks' worth of data to produce reliable predictions that support timely autoscaling choices. The groundbreaking predictive KEDA scaler, PredictKube, simplifies the autoscaling process, minimizing the necessity for cumbersome manual configurations while boosting overall performance. Engineered with state-of-the-art Kubernetes and AI technologies, our KEDA scaler enables users to input data beyond a week, achieving anticipatory autoscaling with a predictive capacity of up to six hours based on insights derived from AI. Our specialized AI discerns the most advantageous scaling moments by thoroughly analyzing your historical data, and it can integrate a variety of custom and public business metrics that affect traffic variability. In addition, we provide complimentary API access, ensuring that all users can harness fundamental features for efficient autoscaling. This unique blend of predictive functionality and user-friendliness is meticulously designed to enhance your Kubernetes management, driving improved system performance and reliability. As a result, organizations can adapt more swiftly to changes in load, ensuring optimal resource utilization at all times.

Media

Media

Integrations Supported

Airtable
ChatGPT
Claude
Claude Duet
Claude for Legal
GitHub
Model Context Protocol (MCP)
Notion
Salesforce

Integrations Supported

Amazon Web Services (AWS)
Google Cloud Platform
Kubeflow
Kubernetes
Kuna Exchange
Microsoft Azure
Prometheus
TensorFlow
Velas

API Availability

API Availability

Has API

Pricing Information

€29 per month
Free Version

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

agnexus

Date Founded

2026

Company Location

Portugal

Company Website

www.agnexus.ai/

Company Facts

Organization Name

PredictKube

Company Location

United States

Company Website

predictkube.com

Categories and Features

Agentic AI

Not specified

Categories and Features

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