"A comparison or overview of Obsidian and Logseq" matching MCP servers:

An MCP server for managing tickets and meetings with CRUD operations, backed by PostgreSQL, and includes a REST API and React frontend.

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 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.

Get live UK 3D printing prices for your own STL/3MF/STEP files or Printables and Thingiverse models, with a checkout link. Also finds mail-in electronics repair prices and checks order or repair progress.

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

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

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

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.

Routes tasks from AI agents to human workers via webhook providers with smart matching, fallback chains, and proof-of-completion tracking.

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 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.

Exposes the customer-support tool registry over stdio so Claude Desktop or Claude Code can look up customers and orders, track shipments, search help-center articles, update shipping addresses, issue policy-checked refunds and escalate to a human. It reuses the same pydantic validation, ownership and refund policy, approval gate and audit logging as the HTTP agent, with the customer identity taken from server configuration rather than the model.

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.

Simulates a multi-tenant customer support backend with tools for profile, order, ticket, and refund management, demonstrating security controls like tenant isolation, role-based access, and input validation.

Manage WhatsApp Business templates and send messages from Claude, ChatGPT, Cursor, VS Code Copilot, or any MCP-compatible client — powered by the Meta Cloud API.

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

Enables monitoring, reporting, and resolving of customer support tickets through a set of read-oriented tools and a human-approved status update, using synthetic data generated locally via Ollama and stored in BigQuery.

Enables an AI agent to look up products by exact ID or browse them by collection, and to check an order's status with each line item resolved to its full product details in a single call. Returns structured JSON with pricing, stock, and shipping data, and surfaces graceful error results for unknown IDs.

Enables AI agents to send SMS from and read incoming messages on a paired Android phone, and to inspect devices, message history, and per-recipient send status.