Bridges LLMs with enterprise IT operations by resolving user intents via Dataverse, creating ServiceNow service requests, and triggering Azure Automation Webhooks.
Enables LLM agents to operate WhatsApp through the Evolution API, providing tools to list groups, fetch message history, and send text messages to groups or individual phone numbers.
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 AI assistants like Cursor to manage customer support tickets in SQLite through MCP tools, supporting creation, retrieval, search, and updates via natural language.
Manage your entire notification infrastructure using natural language. Trigger workflows, create users, manage preferences, update tenant branding, and access docs — all from Cursor, Claude Desktop, or Windsurf. 24 tools covering email, SMS, push, WhatsApp, Slack, MS Teams, and in-app notifications.
MCP server for Cognigy.AI - 132 tools that let Claude, Cursor & other AI assistants build, configure, test & operate conversational AI agents via the Model Context Protocol.
MCP server for AI-native L1 support: triages tickets, answers from a knowledge base, escalates to L2 via Telegram/GitHub, and manages feedback, with a LangGraph workflow and safety guardrails.
A Model Context Protocol (MCP) server that connects LLMs to the Zendesk Support & Help Center APIs — with per-user OAuth 2.1 PKCE authentication and fine-grained tool visibility controls.
Enables creating and deploying AI sales agents to WhatsApp and Webchat from AI coding assistants like Claude and Cursor, with automatic website research and no-code setup.
Enables interaction with Pega case operations through a metadata-driven tool layer, allowing users to fetch, update, and manage cases. It supports standard Pega actions such as retrieving case details, attaching documents, and submitting case actions via API.
Enables reading and writing Zendesk tickets, including searching, fetching comments, posting replies and internal notes, setting ticket status, assigning tickets, logging time, and formatting tickets as Markdown issue drafts for handoff to GitLab, GitHub, or Jira.