"Using Python to Locate and Retrieve Browser Element Selectors" matching MCP servers:

Enables natural language queries for device support, including resolving device references, retrieving device details, historical metrics, and checking provisioning status. Maintains conversation context for multi-turn interactions.

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

FastMCP cloud server enabling AI assistants to manage outbound call campaigns, schedule calls, list agents, and access call data via HTTP.

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 semantic search and analysis of customer support tickets. Provides tools to search tickets, analyze the dataset, and retrieve individual tickets using natural language.

Enables AI agents to search, browse, and retrieve articles from the Wealthsimple Help Center via 7 typed tools (search, taxonomy, article retrieval) using the public Zendesk API.

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

Enables reading and replying to Google Play Store reviews using the Android Publisher API, with no extra functionality to limit security risk.

MCP server that provides tools for order lookup, return eligibility checks, return processing, billing status, and human escalation, simulating a return/billing inquiry triage system using local JSON data.

Demo MCP server for booking confirmed sales appointments through Claude. Allows users to request appointments, check status, and get detailed BANT briefings using natural language, with realistic fake data for demonstration.

MCP server providing tools to search Red Hat KCS solutions, retrieve solution details, search cases, and get case details via Red Hat APIs.

Enables AI assistants to read IT asset management, ITSM, and network inventory data from Alloy Navigator via its REST API, supporting object queries, activity logs, and reference-value lookups using OAuth2 application credentials.

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

Enables LLMs to search and retrieve Autotask tickets, companies, and contacts using advanced semantic search and AI-powered reranking.

Manage your entire notification infrastructure using natural language. Trigger workflows, create users, manage preferences, update tenant branding, and access docs — all from Cursor, Claude Desktop, or Windsurf. 24 tools covering email, SMS, push, WhatsApp, Slack, MS Teams, and in-app notifications.

Enables interaction with Genesys Cloud's Platform API to search queues, analyze conversation volumes, retrieve voice call quality metrics, sentiment analysis, transcripts, and manage OAuth clients through natural language.

Provides reusable MCP tools for Amazon Connect AI Agents and Bedrock AgentCore to look up customers, manage support tickets, schedule appointments, update CRM records, retrieve knowledge, and create tasks.

An MCP server that enables full CRUD operations for Intercom Help Center articles, including support for multilingual content and state management. It allows users to list, retrieve, create, and update articles through natural language commands in MCP-compatible clients.

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).

Connects AI agents to the WhatsApp Business Cloud API, allowing them to send messages, manage templates, and retrieve account analytics. It facilitates automated customer interaction and marketing campaign management through the Model Context Protocol.