"A platform for finding Amazon products based on various interests" 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 support engineers to analyze tickets against a help center with cited retrieval, role-gated and human-confirmed actions, and safety-gated evaluation.

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

Provides a Model Context Protocol server for WhatsApp, enabling session management, webhook normalization, and tenant-based message operations through a public API and private control plane.

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

Connects AI assistants to GLPI service desks so they can manage tickets, ITIL objects (problems and changes), assets, knowledge base articles, users, rules and webhooks through natural language. Works with GLPI 10 and 11 via REST API v1 and the GLPI 11 API v2, with read-only and delete guards, idempotent creates, and support for both local (stdio/HTTP) and hosted OAuth deployments.

Enables AI assistants to securely triage SuperOffice CRM support cases by retrieving tickets, running database diagnostics, searching knowledge bases, and orchestrating cross-system incident investigations.

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

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.

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 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.

Enables AI models to interact with WhatsApp instances through the Wawp API, allowing sending files, checking connection health, and making API requests.

Enables AI clients to securely access and query Microsoft Dynamics 365 data through natural language, supporting data analysis, reporting, and business workflows.

Enables conversational, source-linked device guidance by starting and resuming manufacturer-reviewed procedures, asking users for observations, and recovering from interruptions without blindly replaying actions.

Enables AI assistants to manage WhatsApp instances, send and receive messages, run campaigns, configure webhooks, manage team members, and view metrics through OAuth-secured MCP tools, with optional message replies on the user's behalf.

Enables AI clients to securely query and analyze Zoho Desk helpdesk data using natural language, translating prompts into structured queries and returning clean results.

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.

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 Turkish e-commerce sellers to manage Trendyol marketplace store operations through AI assistants, including viewing products, orders, returns, and customer questions, with optional guarded write actions for answering questions and updating stock and prices.

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.

Read-only MCP server for querying Creatio support cases and related entities via OData API, with entity allowlist and row limits for safe access.

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.

Exposes five tools for querying and analyzing a customer-support dataset, including listing categories/intents, filtering, counting, and summarizing records.

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.