"How to reply to a tweet on Twitter" matching MCP servers:

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

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.

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 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.

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 AI agents to perform helpdesk tasks over MCP, including ticket management, knowledge base search, and reply drafting, with optional pay-per-action USDC settlement and human approval workflows.

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.

Enables AI agents to query a local bakery's hours, menu, custom-order availability, and submit demo inquiries through a clean MCP interface.

A Model Context Protocol (MCP) server that connects LLMs to the Zendesk Support & Help Center APIs — with per-user OAuth 2.1 PKCE authentication and fine-grained tool visibility controls.

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.

Enables LLMs to securely query and optionally write to ServiceNow instances with strict allowlist/denylist safety controls.

MCP server for Zammad that focuses on workflows the standard Zammad API tooling does not cover well — primarily shared drafts with strict reply-HTML validation, fresh signature rendering and German-localised quote blocks.

Enables LLMs to interact with WhatsApp via the official WhatsApp Cloud API, providing tools for sending messages, templates, media, and managing conversations.

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