"Designing a memory system for persona-based agents to improve user experience" matching MCP servers:

A multi-modal user intent collection MCP server that allows AI agents to ask users questions and receive text/image replies.

MCP server for BubblyPhone that lets AI assistants make real phone calls, manage AI voice agents, buy phone numbers in 30+ countries, and track billing. Supports 20 tools for full telephony control.

An MCP-compliant server that enables AI assistants like Claude Desktop to access and analyze Intercom support tickets with full conversation history.

An MCP server for the EaseCation user center that provides admin and user tools to interact with UC backend services.

Enables reading Apple App Store customer reviews, publishing developer responses, and deleting them via the App Store Connect API with a narrow Customer Support role.

Enables reading and replying to Google Play Store reviews using the Android Publisher API, with no extra functionality to limit security risk.

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.

Privacy-first Telegram MCP server enabling maintainers to triage chats, inspect context, search messages, draft replies, and send authorized messages locally without a cloud relay.

Gives Alexa+ voice access to track household insurance claims, refunds, repairs, and disputes, and to chase them via disclosed AI phone calls while keeping money and legal decisions with the human.

Enables interaction with Zendesk Support for managing tickets, comments, and filtering via the Model Context Protocol. It allows LLMs to perform actions like creating, updating, and listing support tickets through natural language in a Heroku-native environment.

Fetches category data from a Q&A service API and returns a markdown summary grouped by category.

A comprehensive customer support platform featuring real-time messaging, knowledge base management, and a multi-tenant architecture with both React frontend and Node.js backend.

A Model Context Protocol (MCP) server that provides AI agents with seamless access to the NetSapiens VoIP platform for user management, call analytics, and system administration.

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

An AI-powered customer service automation system designed to handle flight disruptions by providing real-time flight status, sentiment-aware passenger communication, and personalized engagement activities. It streamlines rebooking, airport recommendations, and human agent handoffs to improve the passenger experience during delays.

Integrates weather tools with Intercom, providing real-time weather alerts, forecasts, and personalized customer greetings using National Weather Service API data.

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.

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.

MCP server that synthesizes user feedback from multiple sources into actionable insights. Aggregates reviews, support tickets, and survey responses to identify patterns and priorities.