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What is Disco.dev?

Disco.dev functions as an open-source personal hub that facilitates the integration of the Model Context Protocol (MCP), allowing users to conveniently discover, launch, customize, and remix MCP servers without the need for extensive setup or infrastructure. This platform provides user-friendly plug-and-play connectors and features a collaborative workspace where servers can be swiftly deployed through either command-line interfaces or local execution methods. Additionally, users have the opportunity to explore servers shared by the community, remixing and tailoring them to fit their individual workflows. By removing the barriers associated with infrastructure, this streamlined approach accelerates the development of AI automation and makes agentic tools more readily available to a wider audience. Furthermore, it fosters collaboration among both tech-savvy and non-technical users, creating a modular ecosystem that values remixability and encourages innovation. In essence, Disco.dev emerges as an essential tool for individuals seeking to elevate their MCP experience beyond traditional constraints while promoting community engagement and shared learning. This unique blend of accessibility and collaboration positions Disco.dev as a significant player in the evolving landscape of AI development.

What is ClearML?

ClearML stands as a versatile open-source MLOps platform, streamlining the workflows of data scientists, machine learning engineers, and DevOps professionals by facilitating the creation, orchestration, and automation of machine learning processes on a large scale. Its cohesive and seamless end-to-end MLOps Suite empowers both users and clients to focus on crafting machine learning code while automating their operational workflows. Over 1,300 enterprises leverage ClearML to establish a highly reproducible framework for managing the entire lifecycle of AI models, encompassing everything from the discovery of product features to the deployment and monitoring of models in production. Users have the flexibility to utilize all available modules to form a comprehensive ecosystem or integrate their existing tools for immediate use. With trust from over 150,000 data scientists, data engineers, and machine learning engineers at Fortune 500 companies, innovative startups, and enterprises around the globe, ClearML is positioned as a leading solution in the MLOps landscape. The platform’s adaptability and extensive user base reflect its effectiveness in enhancing productivity and fostering innovation in machine learning initiatives.

Media

Media

Integrations Supported

Attio
Deel
ElevenLabs
Fireflies.ai
GitHub
Google Drive
HiBob
Jira
Kubernetes
LangSmith
Linear
LinkedIn
Logfire
Notion
Parallel AI
Pylon
Slack
StackOne
Weights & Biases
incident.io

Integrations Supported

Attio
Deel
ElevenLabs
Fireflies.ai
GitHub
Google Drive
HiBob
Jira
Kubernetes
LangSmith
Linear
LinkedIn
Logfire
Notion
Parallel AI
Pylon
Slack
StackOne
Weights & Biases
incident.io

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

$15
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Disco.dev

Company Location

United States

Company Website

disco.dev/

Company Facts

Organization Name

ClearML

Date Founded

2016

Company Location

Israel

Company Website

clear.ml/

Categories and Features

Categories and Features

Deep Learning

Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

DevOps

Approval Workflow
Dashboard
KPIs
Policy Management
Portfolio Management
Prioritization
Release Management
Timeline Management
Troubleshooting Reports

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Virtual Machine

Backup Management
Graphical User Interface
Remote Control
VDI
Virtual Machine Encryption
Virtual Machine Migration
Virtual Machine Monitoring
Virtual Server

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