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The Model Context Protocol (MCP) is an open standard for connecting AI assistants to the systems where data lives, enabling context-aware AI applications.

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All MCPs

20 results

MetricWatch
MCP v1.0
Monitoring

A real-time metrics collection and visualization service with alerting capabilities.

#Auto-scaling
#Real-time
#Analytics
#Monitoring
ML Studio
MCP v1.0
Machine Learning

A fully managed service that enables building, training, and deploying machine learning models.

#Auto-scaling
#BatchProcessing
#SDKSupport
#Analytics
ObservePro
MCP v1.0
Monitoring

A comprehensive monitoring solution that provides insights into application performance and health.

#Webhooks
#Real-time
#Analytics
#Monitoring
Prediction API
MCP v1.0
Machine Learning

A service that makes it easy to deploy machine learning models and get predictions via API calls.

#Auto-scaling
#SDKSupport
#Real-time
#RESTAPI
RealTime Analytics
MCP v1.0
Data Processing

Platform for processing and analyzing streaming data in real-time.

#Auto-scaling
#Event-driven
#Real-time
#Analytics
Serverless Engine
MCP v1.0
Serverless

A platform for building and running serverless applications with automatic scaling and pay-per-use pricing.

#Auto-scaling
#Multi-region
#Event-driven
#Monitoring
TokenSecure
MCP v1.0
Authentication

Specialized token management system for secure authentication across distributed systems.

#JWT
#Multi-region
#Encryption
#OAuth
Transform Engine
MCP v1.0
Data Processing

A high-performance data transformation service with support for complex mapping and enrichment operations.

#Auto-scaling
#Event-driven
#BatchProcessing
#Analytics
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