"How to Connect to a PostgreSQL Database" matching MCP servers:

An MCP server that enables AI assistants to interact with Amazon Connect contact centers, providing 88 tools, 91 configuration templates, and multi-region support.

An MCP server that lets an AI build hours of operation, queues, routing profiles, and real IVR flows from plain English, diagram them in chat, validate them with the platform's own flow validator, and prove them with simulated test calls. It is deliberately unable to go live on its own — no dialing, no number association, no deletes — so a human always makes the final connection.

Enables analysis and management of iOS/macOS apps via the App Store Connect API, including app management, reviews, sales reports, analytics, performance metrics, and TestFlight.

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 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

Exposes the full App Store Connect API (1,263 operations) to AI agents via four token-efficient MCP tools, enabling app metadata, TestFlight, subscriptions, and reporting management through natural language.

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.

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

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 that authenticates via browser session cookies to access Zendesk's REST API without API tokens, supporting reads and writes with agent permissions.

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.