"Methods to Improve or Enhance a Prompt" matching MCP servers:

Enables voice assistants to find nearby service providers, connect users to live video representatives for natural conversation, and handle appointment booking. It also returns confirmed bookings so the assistant can add them to its calendar.

Run free live audience Q&A and polls from your agent: start an AskOne room, add and launch a poll, approve or hide questions and mark them answered, close the room, then read the questions as a FAQ draft and get the results. Free AI moderation. Uses an organization API token from askone.org

Enables Boneyard to call authenticated, stateless Streamable HTTP tools for searching tickets and adding ticket comments, with caller context, attribution, and bounded results.

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

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.

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 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.

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.

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.

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.

Enables AI agents to audit and analyze Zendesk instances through a read-only MCP interface, providing tools for triggers, automations, analytics, and cross-reference queries.

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 agents to query a local bakery's hours, menu, custom-order availability, and submit demo inquiries through a clean MCP interface.

A prompt-injection-aware MCP server demonstrating guardrails for agentic tool use, including permission tiers, untrusted-content quarantine, and heuristic injection detection, with a fictional ticket-triage assistant.

Enables AI agents to create, query, search, and manage Movidesk tickets directly via natural language.

Enables an AI agent to look up products by exact ID or browse them by collection, and to check an order's status with each line item resolved to its full product details in a single call. Returns structured JSON with pricing, stock, and shipping data, and surfaces graceful error results for unknown IDs.

Yandex Market Partner API in your AI assistant: orders and returns, products and cards, prices and tariffs, reports, reviews and chats. 165 methods live in a YAML catalog the server executes, the agent searches it in plain language, and every method carries an access class so writes and irreversible calls ask for confirmation.

A production-grade MCP server for Zendesk that provides ticket management, search, user/group operations, and knowledge base access with support for local stdio and remote HTTP transports, authentication via API keys or OAuth, and multi-tenancy.

Enables MCP clients to create, read, update, delete, and search Cherwell CSM business objects such as Incidents, Problems, Changes, or custom objects through the Cherwell REST API.