"Information about Google Sheets" matching MCP servers:

MCP server that exposes Google Business Profile / Google My Business REST APIs as MCP tools, returning Google API responses directly without added workflow or business logic.

Connects a Google Business Profile to AI assistants like Claude, ChatGPT, Cursor, and Claude Code so users can query local search and Maps performance, track keywords, and monitor reviews through natural language. It also supports write actions for replying to reviews, publishing local posts, and managing photos and menus, with per-account read-only or read-and-write controls.

Enables reading and acting on Google Cloud support cases, comments, attachments, and classifications across projects and organizations through MCP, with configurable read/write tools and confirmation safeguards.

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

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

Enables AI agents to manage Google Play Console reviews and Android app releases, including replying to reviews, promoting releases, managing staged rollouts, and checking crash/ANR vitals.

A read-only MCP server for the Little Green Light donor CRM. It lets Claude answer questions about donor data, gifts, and fundraising metrics by querying LGL directly.

Provides read-only access to Hostaway PMS data, enabling assistants to answer questions about listings, calendars, reservations, and inbox threads, and generate occupancy, inbox, and completeness reports without writing or sending anything.

MCP server for Google Cloud Support API v2. Provides tools for managing Google Cloud support cases through AI assistants.

Connects OwnerRez property management data to MCP clients, enabling natural-language queries about bookings, check-ins, guest messaging, expenses, and webhooks.

Enables FiberOne Broadband subscribers to access account details, data usage, transactions, plans, outage tickets, lost days, and modem information, as well as file outage reports, through MCP tools.

Enables sellers to connect one or more MercadoLibre store accounts to Claude over OAuth 2.0 with PKCE and ask about sales, orders, questions, catalog buy box, promotions, reputation, and competitor pricing in natural language, with optional write actions for pricing, stock, listings, and buyer replies. Supports consolidated multi-store reporting and requires no backend server, keeping tokens in a local file on the user's machine.

Enables support agents to look up customer account details and billing or incident information through two read-only MCP tools for triage workflows.

Enables AI agents to manage Google Business Profile reviews, including a filterable review inbox, per-location stats, and honest review-request campaigns.

Enables AI assistants to fetch, analyze, and respond to Google Business Profile reviews with AI-generated replies through secure OAuth integration with Google's My Business API.

An MCP server integrating Google Gemini LLM for intelligent customer service, providing chat, analytics, and tools for customer data interaction.

Enables interaction with SAP Commerce systems through OCC APIs, supporting product discovery, cart management, customer support operations, and store information retrieval. Provides both local and remote connectivity options for AI agents to perform e-commerce tasks.

An unofficial MCP server that integrates with the Channel Talk Open API to allow AI assistants to access and manage chat information. It enables users to retrieve chat lists and message histories filtered by status, tags, and customer details.

Exposes read-only knowledge base articles on returns, warranty and shipping policies alongside tools that search, retrieve and create real support tickets. This lets an LLM agent ground its answers in store policy without inventing information, and act on actual ticket data rather than simulated records.