"Elastic Cloud" 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.

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

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.

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.

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

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.

Salesforce AgentForce as a traversable MCP knowledge graph. 40 nodes covering Einstein Trust Layer, Agent Topics, Actions, Data Cloud, and Resolution Criteria. 11x fewer tokens than RAG. Free: uvx ckg-agentforce

Enables querying and analyzing Genesys Cloud data such as queues, conversations, voice call quality, sentiment, topics, transcripts, and OAuth client usage through natural language.

Enables interaction with Genesys Cloud's Platform API to search queues, analyze conversation volumes, retrieve voice call quality metrics, sentiment analysis, transcripts, and manage OAuth clients through natural language.

Enables AI assistants to interact with JAICP / Conversational Cloud HTTP APIs, covering projects, channels, analytics, text campaigns, CAILA NLP, and Dialer calls through OpenAPI-defined tools.

Connects AI agents to the WhatsApp Business Cloud API, allowing them to send messages, manage templates, and retrieve account analytics. It facilitates automated customer interaction and marketing campaign management through the Model Context Protocol.

Connects AI assistants to the official Meta WhatsApp Cloud API for managing conversations and sending various message types through natural language. It provides tools for media management, template messages, and real-time webhook processing without the risk of account bans.

Connects to Genesys Cloud to list IVR routes and retrieve IVR flow configurations, generating readable Markdown documentation covering business and technical details, prompts, and integrations.

An MCP server that allows AI models to securely access and manage WeChat Cloud-based reservation data. It provides tools for querying records, updating appointment statuses, and deleting entries through the WeChat Cloud Development API.

Enables interaction with Mango Office cloud PBX to manage calls, users, recordings, SMS, and call statistics.

Provides LLMs with access to the DoiT API for managing cloud resources, analyzing costs, and handling support tickets via natural language.

MCP server for interacting with the official Meta WhatsApp Business Platform/Cloud API, enabling sending messages, managing contacts, templates, and handling webhook callbacks.

Enables AI agents to interact with Genesys Cloud platform through MCP tools, resources, and prompts, supporting queues, conversations, users, presence, and analytics with production-ready features like Streamable HTTP and per-request authentication.

Enables building and managing Genesys Cloud resources—such as queues, skills, users, Architect flows, outbound campaigns, and agentic virtual agents—through natural language from any MCP client, including diagramming and publishing via Genesys' own pipelines.