"Artifacts capabilities and features" matching MCP servers:

Enables Claude and other LLMs to perform enterprise business operations through natural language, such as customer management, device eligibility checks, compliance reviews, invoice lookups, and support case creation, while hiding the underlying technologies and service integrations.

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

Enables Claude to make outbound phone calls through Vapi API, supporting any call type and language with features like call initiation, result polling, and structured data extraction.

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 Codex to interact with the Atera REST API, including reading customers, agents, tickets, and alerts, checking health, and listing capabilities, with optional write operations when explicitly enabled.

MCP Server for automated conversational phone calls using Asterisk with Speech-to-Speech capabilities, allowing users to make phone conversations as easily as writing a prompt.

Integrates with GLPI IT4Solução API v2.3 (OAuth2) to manage tickets, computer inventory, and configuration parameters, with safety features like dry-run and rollback.

Connects AI clients to retail customer, inventory, sales, order, and support capabilities through the Model Context Protocol.

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.

Model Context Protocol server that enables AI assistants to query and analyze project feedback and bug reports from FeedbackBasket projects, with filtering by category, status, sentiment, and search capabilities.

MCP server for vpbx.me virtual PBX, enabling assistants to access telephony features like call history, recordings, live calls, click-to-call, and configuration management.

Enables interactive feedback collection through a web interface with support for image uploads, extended timeout handling, and offline reconnection capabilities for long-running AI conversations.

Enables AI assistants to interact with the full Odichat API, providing 123 tools for managing accounts, agents, contacts, conversations, inboxes, reports, and Odichat-exclusive features like Kanban boards and scheduled messages.

Conversational business process runtime for AI agents with workflow orchestration, enterprise operations, KPI exploration, and process management capabilities.

MCP gateway for GREEN-API WhatsApp that lets AI agents send messages, manage instances, and receive notifications via WhatsApp using the Model Context Protocol.

Enables AI agents to interact with Genesys Cloud platform through MCP tools, resources, and prompts, supporting queues, conversations, users, presence, and analytics with production-ready features like Streamable HTTP and per-request authentication.

MCP server for Twilio communications, enabling SMS/MMS sending, message listing, outbound calls, and phone number lookup.

An MCP server that connects Twilio to MCP clients, enabling natural language control of SMS, MMS, WhatsApp messaging, voice calls, and phone number management.

Enables agents to search answered tickets, ask new questions, and answer waiting questions on the shared help desk, while providing read-only observation of visits.