"Using memory in programming with the Cursor system" matching MCP servers:

A versatile MCP server providing tools for arithmetic operations, n8n webhook integration, and access to a customer support playbook resource. It also includes specialized prompt templates for converting webinar transcripts into engaging blog posts.

Provides a versatile MCP server with calculator tools, webhook integration for n8n workflows, a customer support playbook resource, and a webinar-to-blog prompt template.

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 AI clients to list, inspect, triage, and update support tickets via MCP tools, with a mocked dataset designed for swapping in real ticket sources later.

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.

Laya-MLX as an MCP server (and plain-HTTP API). It answers typed decisions — choose an option / score a rubric / is this true? — on your own machine (Apple Silicon / MLX), with no cloud and ~10ms after warm-up. Not a chatbot. No token-by-token text, no JSON that can break. One forward pass returns a structured answer you can branch on. Ideal for routing, triage, classification, lead scoring, and g

Enables AI agents to search, fetch, create, update, comment on, and resolve ServiceNow incidents using the caller's own bearer token, so all actions respect the token owner's ServiceNow ACLs.

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

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.

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.

MCP server for the WhatsApp Business API that enables managing business accounts, phone numbers, message templates, sending template messages, and tracking message status via the Meta Graph API.

Enables semantic search and analysis of customer support tickets. Provides tools to search tickets, analyze the dataset, and retrieve individual tickets using natural language.

Enables AI agents to manage a fictional B2B workspace SaaS (Tessera) with tools for ticketing, invoicing, customer management, and trial extensions, featuring a human-in-the-loop confirm pattern for safety.

Enables AI agents to search, browse, and retrieve articles from the Wealthsimple Help Center via 7 typed tools (search, taxonomy, article retrieval) using the public Zendesk API.

MCP server for managing and composing customer replies for a phone and computer repair shop, with built-in templates and WhatsApp link generation. Supports Arabic and English.

Books professional home cleaning services anywhere in metropolitan France end-to-end (coverage check, firm quote, booking creation, URSSAF "avance immédiate" enrollment, status polling). End users pay only 50% via SEPA direct debit thanks to the URSSAF immediate tax credit advance — no card payment required.

MCP server for ManageEngine ServiceDesk Plus that lets AI agents list, search, create, update, and manage help desk tickets and technical notes in real-time.

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

Enables monitoring, reporting, and resolving of customer support tickets through a set of read-oriented tools and a human-approved status update, using synthetic data generated locally via Ollama and stored in BigQuery.