"Campaign Monitor" matching MCP servers:

Context window usage estimation for AI coding agents via MCP, enabling proactive state preservation before compaction.

Read-only VMware vCenter/ESXi monitoring. 8 MCP tools for VM inventory, host status, datastore capacity, cluster info, alarms, events, and VM details. Code-level enforced safety — no destructive operations exist in the codebase. Supports vSphere 6.5–8.0. Works with local models via Ollama/LM Studio.

Enables an MCP client such as Claude to inspect a Mac's battery, memory, CPU, GPU, disk, and most energy-hungry apps, and to shut down, restart, sleep, or lock the screen now or on a schedule with a cancellable 60-second grace period.

Identifies resource-intensive processes on macOS across CPU, memory, and network usage, with tools for detailed process filtering and system overview.

Enables AI agents to inspect Shadow Monitor capture files locally, with tools to load bundles, find errors, search network requests, and replay user actions.

FastMCP server with read-only tools to monitor Redis — queue depths, Celery queue status, connected clients, server/memory info, and per-database key counts

Enables Claude to monitor CPU, memory, disk, processes, network connections, Docker containers, and system logs for system diagnostics and troubleshooting.

Provides system monitoring tools for VPS including CPU, memory, disk, network ping, top processes, and Docker status, with read-only architecture and security features.

MCP server for monitoring health of MCP servers, GitHub Actions, GitLab pipelines, and HTTP endpoints with health history, TLS expiry, assertions, diagnostics, and alerts.

Renders an interactive pipeline DAG and test-harness dashboard inline in MCP hosts, showing node statuses, pass rates, costs, and latency from a JSON state file.

Enables AI agents to monitor Docker containers, system resources, ports, and logs in real-time.

Monitor SSL/TLS certificate expiry across your domains by asking Claude, with no dashboards or command-line tools needed.

Enables agents to monitor websites for content changes with persistent baselines, durable notifications, and explicit review acknowledgement, using direct HTTPS fetches or isolated Playwright browser rendering for dynamic pages.

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

Monitors and analyzes GitHub repository health by detecting stale branches, old pull requests, unresponsive issues, and security alerts. Integrates with MCP-compatible AI assistants and automation tools.

Bridges with an installed API monitoring application to enable launching and status checks, live background capture, process attach, filter-tree inspection, GUI actions, and opening, validating, decoding, searching, inspecting, exporting, and comparing saved captures and related metadata.

MCP-native health monitoring that probes MCP servers using the list_tools protocol handshake, detects version drift, stores history in SQLite, and generates an HTML dashboard.

SLA observation broker for the A2A network: agents register public health endpoints with target uptime and latency, and the shim probes them to record breaches.

Enables secure, read-only monitoring of Cisco Meraki networks, allowing AI agents to query real-time information on organizations, networks, devices, clients, and traffic without risk of configuration changes.

Enables AI assistants to check disk usage on the host machine, providing real-time reports on partition health, warnings, and critical alerts across Windows, macOS, and Linux.