"How to use or perform actions in Apple Calendar" matching MCP servers:

Provides tools to search for apps and music via the iTunes Search API and monitor the operational status of various Apple system services.

Owner-side Apple Podcasts analytics over the Podcasts Connect Reporter protocol: plays, unique and engaged listeners, followers, and per-episode listening for a show you own. Not the public iTunes catalog — this is the data Apple's hosting API does not expose.

Local MCP server for Apple platform console, unified, and diagnostic logs. Enables listing devices and capturing live logs from simulators and real devices.

Enables tracing mcp-use tool callbacks and capturing tool errors and exceptions in Sentry via MCP middleware, without SDK changes or additional services.

Enables turning mSCP security baselines into Microsoft Intune configuration for macOS and iOS/iPadOS, including profiles, compliance checks, remediation scripts, and inventory, with local review before controlled pushing to a tenant.

An intelligent MCP server that gives AI agents full control over GitHub Actions CI/CD pipelines, including real-time monitoring, log analysis, AI-powered failure diagnosis, and deployment management.

Enables agents to look up and search servers from the official MCP registry, probe any server live for availability, protocol, auth, tools and context-token cost, and retrieve registry-wide statistics. Also supplies a CLI and GitHub Action that measure how many tokens your own configured servers' tool definitions consume against a budget.

Enables AI assistants to search, analyze, and debug application API traffic captured by Tusk Drift, including HTTP requests, database queries, distributed traces, latency metrics, and error rates.

Enables AI assistants to query and analyze AI agent sessions from observability providers like Shepherd (AIOBS) and Langfuse, allowing users to debug agent runs, compare sessions, track performance, and analyze LLM usage patterns.

Enables state-aware Terraform/OpenTofu plan evaluation against live AWS topology and CloudWatch telemetry, detecting reliability blast radius and FinOps waste before merge.

Enables AI agents to monitor server health and capacity, diagnose outages, inspect Docker and deployment status, and perform safe, bounded recovery actions via MCP without granting unrestricted shell or SSH access.

Read-only MCP server that exposes Grafana dashboards, datasources, and metric/log queries as tools, for use by skills in the TICKETS workspace.

Enables AI agents to manage a Canonical Landscape estate, including inventory, alerts, patching, and script execution, with built-in safety layers to prevent accidental destructive actions.

Enables AI assistants to interact with and manage Kubernetes clusters, supporting operations on pods, deployments, services, configmaps, secrets, namespaces, metrics, and events with built-in safety features for destructive actions.

Enables agents to score the reliability of recurring tasks, jobs and pipelines (success rate, streak recovery, lapse risk, latency-trend warnings, priority-ranked remediation) and to run behavioural analytics over habit or routine data (adherence, consistency, momentum, next-best actions, multi-week plans). Pays per call in USDC on Base via x402 from a local wallet, or runs quote-only when no wallet is configured.

Enables AI agents to inspect a live Celery deployment over RabbitMQ or Redis — checking which workers are responding, their pools, concurrency and consumed queues, and how many messages are backed up in each queue — so agents can diagnose stuck or unrouted tasks. Read-only by default, with broker credentials masked in all output.

Enables users to ask directly within a Claude Code or Codex chat how much energy and CO2eq their current session or entire project has consumed, estimated locally from session logs with no telemetry or network calls. It also reports everyday-activity equivalents such as kettle boils or washing machine cycles for the resulting figures.

Enables AI agents and MCP clients to route every tool call through configurable rules that allow, block, or hold risky actions for human approval, while recording decisions in a tamper-evident audit trail.

Enables users to inspect ephemeral GitHub Actions runner fleet status, SLOs, incidents, capacity recommendations, and cost evidence through read-only MCP tools, without allowing infrastructure or cluster mutations.

MCP Server for notify to telegram / weixin

Connects Claude to Miradore Online MDM so it can query device inventory, health, enrollments, apps and profiles, and perform setup or management actions like Apple DEP syncs, app deployment and remote commands. Read-only and destructive safety modes gate which operations are exposed.

Connects coding agents to local development services managed by Kranz. Agents can inspect service health, ports, logs, and run history, and perform lifecycle actions through the same live runtime as the TUI and CLI.

Enables MCP clients to triage SOC alerts while enforcing a trust firewall across retrieval, memory, and privileged actions. It exposes tools for alerts, logs, memory, and alert actions, with defenses that refuse risky operations in the presence of attacker-controllable content.

Enables MCP-capable agents to join Landfall incident war rooms as live investigators, contributing findings and widgets to the incident timeline in realtime while pulling other investigators' discoveries, with single-use share links or authenticated sessions.

Shows, cron slot by cron slot, how late each scheduled GitHub Actions run started, which slots never ran, and whether your config or GitHub's scheduler is to blame; can catch up missed slots without double-running.

Enables AI clients to query and manage Aagon ACMP data in natural language through the Public API, covering clients, containers, jobs, tickets, assets, inventory and vulnerabilities. Read actions run immediately, while write, execute and delete actions require one or two people to approve them on a web page before they reach ACMP.

Enables Claude Code users to inventory the MCP servers, skills, commands, agents and plugins installed on their machine, estimate how many tokens each one adds to every request, and switch them off per project or globally, including across other AI coding tools. It also monitors live sessions to report real token usage and the savings achieved from disabled items.

Gives the model visibility into the same 5-hour session, weekly, and per-model usage percentages shown in Claude Code, along with reset times. It also lets a project cap how much of the weekly limit may be spent via start/check/end budget tools that report OK, LOW, or OVER_BUDGET.

Enables AI assistants to interact with Netgear Genie cable modems to retrieve hardware status, DOCSIS channel data, RF signal health diagnostics, and event logs, and to perform confirmed modem reboots or log clearing.

Enables AI agents to use upstream MCP tools safely by scanning every tool result for indirect prompt injection and allowing, fencing as untrusted data, or blocking it while logging audit events.