"How to query data from a Snowflake database" matching MCP servers:

Read-only MCP server for Twilio call data, providing tools to search calls, fetch recordings and transcripts, list agents, and generate summaries while explicitly handling timezone and duration measurement discrepancies.

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.

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

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

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

Enables support engineers to investigate a ticket by cross-referencing simulated Zendesk, Datadog, Snowflake, and AWS data, returning a possible root cause, ranked hypotheses with evidence, and recommended checks.

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.

Lets AI assistants safely explore a Matrix42 instance by discovering web services and the data model, running validated ASQL queries, searching the service desk, and previewing ticket actions — read-only by default and without exposing credentials.

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 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.

Enables AI assistants to answer customer questions from a shop's own product catalog, FAQs, and policy documents, with read-only access and cited answers.

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 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.

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.

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.