"How to connect a backend project to MongoDB" matching MCP servers:

Connects ElevenLabs voice agents to Supabase for real-time order lookups, enabling voice agents to retrieve order status, tracking, and delivery information through the lookup_order tool.

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.

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.

MCP-compatible backend that automates ServiceNow incident handling via Microsoft 365 Copilot, offering tools for incident analysis, automation, and job status retrieval.

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

Enables eBay sellers to manage inventory, view orders, handle messages, and browse listings through AI assistants using eBay seller APIs.

Exposes a churn risk model, a support ticket classifier, and a retrieval-augmented policy Q&A pipeline as callable MCP tools. Enables any MCP-aware AI client to orchestrate all three capabilities within a single conversation.

Enables an AI to perform customer support workflows by looking up customers, retrieving orders, and creating support tickets through MCP tools.

Bridges LLMs with enterprise IT operations by resolving user intents via Dataverse, creating ServiceNow service requests, and triggering Azure Automation Webhooks.

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.