"Information about Azure OpenAI" matching MCP servers:

A read-only MCP server for the Little Green Light donor CRM. It lets Claude answer questions about donor data, gifts, and fundraising metrics by querying LGL directly.

Provides read-only access to Hostaway PMS data, enabling assistants to answer questions about listings, calendars, reservations, and inbox threads, and generate occupancy, inbox, and completeness reports without writing or sending anything.

Connects OwnerRez property management data to MCP clients, enabling natural-language queries about bookings, check-ins, guest messaging, expenses, and webhooks.

Enables FiberOne Broadband subscribers to access account details, data usage, transactions, plans, outage tickets, lost days, and modem information, as well as file outage reports, through MCP tools.

Enables support agents to look up customer account details and billing or incident information through two read-only MCP tools for triage workflows.

Enables small-business AI assistants to answer customer questions about hours, offerings, FAQs, staff, and booking from a single business.yaml config, with industry-specific tools and guardrails.

Enables interaction with SAP Commerce systems through OCC APIs, supporting product discovery, cart management, customer support operations, and store information retrieval. Provides both local and remote connectivity options for AI agents to perform e-commerce tasks.

An unofficial MCP server that integrates with the Channel Talk Open API to allow AI assistants to access and manage chat information. It enables users to retrieve chat lists and message histories filtered by status, tags, and customer details.

Enables Claude to interact with ServiceNow instances through the ServiceNow API, allowing data retrieval, record management, and workflow execution. Supports multiple authentication methods and tool packaging for role-based access control.

Enables interaction with SendPulse Chatbots API to manage chatbot accounts, retrieve bot information, and access dialog conversations. Supports flexible authentication through API credentials or OAuth tokens for comprehensive chatbot management through natural language.

A starter kit for creating a read-only MCP server that lets AI assistants access business information, calculate prices, answer FAQs, and check availability.

MCP server to retrieve information from Zendesk Help Center using anonymous authentication. Provides tools to list categories, sections, articles, and search articles.

This is a deployable remote MCP server that lets OpenAI Agent Builder connect directly to Etsy using Etsy OAuth 2.0 with PKCE.

Enables AI agents to retrieve customer, order, ticket, policy, and agreement information, and to prepare or execute state-changing support actions like escalations and follow-ups with confirmation and access control.

Enables intelligent form data collection for mediation/dispute resolution services through conversational AI. Supports structured information gathering, real-time validation, and database storage with integration for Cursor, Dify, and other LLM platforms.

Enables users to ask natural-language questions about why an account's bill changed and receive ranked, evidence-linked explanations grounded in computed SQL diffs, with enforced per-session authorization so agents cannot access unauthorized accounts or modify ledgers.

Exposes tools for employee information, leave balance, support tickets, and product inventory, with AI agent integration and A2A communication for escalation.

MCP server providing business tools for customer support and account management, integrated with SQLite, OpenAI, and Streamlit.

Enables LLM clients to answer identity-aware questions about customer calls using a multi-tenant B2B call analytics platform with role-based access.

Exposes read-only knowledge base articles on returns, warranty and shipping policies alongside tools that search, retrieve and create real support tickets. This lets an LLM agent ground its answers in store policy without inventing information, and act on actual ticket data rather than simulated records.