"Simple MCP example using HTTP transport" matching MCP servers:

A lightweight MCP server that enables AI agents to retrieve customer support ticket information from an in-memory datastore via SSE.

Simulates a multi-tenant customer support backend with tools for profile, order, ticket, and refund management, demonstrating security controls like tenant isolation, role-based access, and input validation.

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

Soprano Connect MCP Server enables you to build AI agents that can communicate, engage customers, and manage communications workflows through the Soprano Connect platform using the Model Context Protocol (MCP).

Enables AI assistants to query and operate a help desk and service desk through MCP over HTTP, including tickets, requester communications, internal notes, attachments, stage and SLA history, time entries, clients, requesters, desks, knowledge base, contracts, and billing/satisfaction reports.

Enables managing a company's Reclame Aqui complaints using the Company Area account, including listing complaints, reading details, checking reputation, and replying to consumers.

MCP server to query Microsoft Dynamics 365 CRM records and support workflows using streamable HTTP transport.

Enables AI-driven customer support ticket processing, including classification, response generation, and automated email sending and Google Sheets logging.

MCP server enabling NPS chatbot interactions, summaries, topic analysis, and example comments via natural language.

A Model Context Protocol server that analyzes customer cancellation survey data, enabling Claude AI integration through HTTP/SSE transport.

An MCP server that enables interaction with Twilio Frontline API for customer communication workflows, auto-generated using AG2's MCP builder.

Enables Claude to make outbound phone calls through Vapi API, supporting any call type and language with features like call initiation, result polling, and structured data extraction.

Enables AI agents to safely operate HubSpot CRM contacts, deals, and pipelines via MCP, with caching, idempotency, audit trails, and robust error handling.

Enables AI agents to prompt users for input directly within the chat UI using MCP's elicitation capabilities, allowing for interactive multi-turn conversations without leaving the conversation interface.

Provides MSP support tools (ticket search, draft response, KB search, update) with a deterministic security guardrail that refuses to draft responses for security tickets based on content scanning, even if mislabeled.

Enables AI agents to discover and call Xyte's device management API endpoints with typed validation, supporting fleet investigation, ticket management, and routine operations through natural language.

Provides ServiceNow ITSM tools (incidents, knowledge, CMDB, user lookups) to AI agents, with an evaluation harness that measures tool-selection accuracy, task completion, and latency.

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.

Enables MCP-compatible clients to act as an AI receptionist for a small medical clinic, handling appointment booking and rescheduling, patient registration, intake, reminders, and FAQ answers.

Enables AI agents to manage DokuTrak document requests, including creating and sending requests, chasing rejected files, checking status, and downloading collected documents.