"Campaign Monitor" matching MCP servers:

Enables MCP-aware agents to estimate, submit, monitor, cancel, and retrieve artifacts from Jungle Grid workloads, supporting asynchronous AI execution, batch processing, training, fine-tuning, and access to logs and managed outputs.

An MCP server for controlling Fivetran data pipelines. Enables AI assistants to manage syncs, monitor connection status, and control pipelines through natural language.

Enables management of Railway.app infrastructure through natural language, allowing users to deploy services, manage environment variables, monitor deployments, and configure projects directly from MCP clients like Claude.

Provides AI assistants with access to Cohesity DataProtect for managing backups, recovery operations, and data protection monitoring via the Cohesity REST API. It enables users to trigger on-demand backups, monitor cluster health, and manage protection policies through natural language commands.

Enables Claude to interact with Karma Alert dashboard to monitor and analyze Kubernetes alerts. Provides tools to check alert status, filter by cluster/severity, get detailed alert information, and analyze alert statistics and trends.

MCP server for managing Proxmox VE clusters — provision VMs and containers, manage snapshots and backups, execute commands, browse storage, and monitor resources through natural language

Let Claude and Cursor manage your Railway infrastructure through natural language. Deploy, configure, and monitor - autonomously and safely.

Enables AI applications to interact with Amazon Advertising API through the Model Context Protocol. Supports campaign management, performance reporting, audience targeting, and comprehensive advertising operations across Amazon's advertising ecosystem.

Exposes Modal cloud functions as MCP tools for video rendering, voice synthesis, and app management. Enables LLM agents to execute Remotion renders, F5-TTS voice cloning, and monitor Modal applications via Supabase-backed infrastructure.

This MCP server enables AI assistants to interact with a BT Panel server through natural language, allowing users to query logs, manage websites, and monitor system status without manual panel login.

Enables AI systems like Claude and Cursor to directly manage Railway projects, deployments, services, environment variables, and monitor logs through natural language commands.

A Model Context Protocol server for querying and analyzing Azure resources at scale using Azure Resource Graph, enabling AI assistants to explore and monitor Azure infrastructure.

Monitors AWS infrastructure including EC2, RDS, S3, SQS, CloudWatch, and more through 19 tools, enabling natural language queries for infrastructure status.

Enables querying Azure Application Insights logs by order number through natural language. Provides secure access to Azure Monitor logs with comprehensive error handling and rate limiting.

Enables AI assistants to manage and monitor VergeOS virtualization platforms through natural language, including VM operations, network management, tenant administration, and cluster monitoring.

Enables control and management of Coolify self-hosted PaaS instances, allowing you to deploy applications, manage databases, monitor servers, and execute operations directly from AI assistants.

Enables AI assistants to manage and monitor Automox environments via natural language, including devices, compliance, policies, patches, and more.

A Python-based MCP server that enables querying Cisco's Meraki Dashboard API to discover, monitor, and manage Meraki environments.

MCP server for VAST Data administration, enabling AI assistants to monitor, list, and manage VAST clusters.

Enables AI assistants to monitor and troubleshoot AWS Application Signals services by tracking service health, analyzing SLO compliance, querying CloudWatch metrics, and investigating issues using distributed tracing with AWS X-Ray.