"AWS cloud service monitoring" matching MCP servers:

Enables Genesys Cloud queue administration and conversation analytics, including queue search/creation, conversation sampling, voice quality, sentiment, topics, transcripts, and OAuth client usage.

Connects AI assistants to Jira Service Management instances, providing 40 tools for managing service desks, requests, comments, customers, organizations, queues, SLA, approvals, and attachments.

MCP server for Google Cloud Support API v2. Provides tools for managing Google Cloud support cases through AI assistants.

MCP server for InvGate Service Desk — manage incidents, users, knowledge base, assets and time tracking from any AI assistant.

Enables configuration of Jira Service Management Cloud via natural language, supporting request types, custom fields, forms, and more.

Enables workplace self-service tasks such as directory lookup, time-off management, ticket creation, and policy search, with write operations governed and compensation changes structurally denied.

This MCP server enables an AI receptionist to manage field-service bookings end-to-end: checking technician availability from live Outlook calendars, sending asynchronous SMS offers, tracking request status, and creating confirmed Outlook events with ETag-locked concurrency, all without customer sign-in.

Enables Claude to query live Salesforce org data—accounts, pipeline, cases, campaigns, and journeys—across Sales, Service, and Marketing Cloud, with local or cloud deployment.

Integrates with Service Desk Plus Cloud API to enable AI assistants to manage IT service requests, technicians, and communications via natural language.

Enables reading and acting on Google Cloud support cases, comments, attachments, and classifications across projects and organizations through MCP, with configurable read/write tools and confirmation safeguards.

Integrates with Service Desk Plus Cloud API to enable AI assistants perform CRUD operations on service desk entities, including request management, technician management, and email communication.

A FastMCP server for e-commerce customer service, providing secure read/write access to customers, orders, and support tickets with audit logging and monitoring.

Lets AI assistants safely explore a Matrix42 instance by discovering web services and the data model, running validated ASQL queries, searching the service desk, and previewing ticket actions — read-only by default and without exposing credentials.

Exposes five tools for querying and analyzing a customer-support dataset, including listing categories/intents, filtering, counting, and summarizing records.

Manage WhatsApp Business templates and send messages from Claude, ChatGPT, Cursor, VS Code Copilot, or any MCP-compatible client — powered by the Meta Cloud API.

Enables monitoring, reporting, and resolving of customer support tickets through a set of read-oriented tools and a human-approved status update, using synthetic data generated locally via Ollama and stored in BigQuery.

Enables LLMs to interact with WhatsApp via the official WhatsApp Cloud API, providing tools for sending messages, templates, media, and managing conversations.

Enables AI-assisted field service management through the Service Fusion API, including job lookup, customer management, dispatch, invoicing, and equipment tracking.

MCP server for SolarWinds Service Desk (SWSD/Samanage) enabling reading and modifying tickets, comments, knowledge-base articles, and more via each user's own API token.

Enables LLMs to interact with Jira Cloud through the official REST API v3, supporting operations like creating issues, searching with JQL, fetching issue details, and managing transitions.