"MCP server for reading and analyzing multi-sheet Google Spreadsheets" matching MCP servers:

Bridges MCP-compatible clients to the Google Sheets API, enabling automated spreadsheet creation, reading, writing, and formatting through natural language.

Generates timed exams on any topic with an interactive exam sheet in MCP hosts; supports true/false, multiple-choice, and open questions with instant or model grading and a final report out of 100.

A mobile-first AI co-reading MCP server that lets users import novels or comics, sync reading progress with AI, and interact through comments, bookmarks, and notes.

Enables small local models and other agents to read and query spreadsheet files locally, run SQL and cleaning, audit formulas, make Excel-correct edits, and generate branded dashboards with token-budgeted responses across selectable tool tiers.

Enables shared reading between humans and AI assistants, including book import, chunked reading, margin annotations, reading progress tracking, and note exchange.

An AI reading companion that curates next books based on the Chicago Plan curriculum and tracks user reading progress with personal tokens. It offers book recommendations, logging, coaching questions, and reading reports.

A local MCP server for low-token co-reading: import a book, split it into chapter-sized chunks, read it chunk by chunk, and keep notes so a session can resume without re-reading the whole book.

Enables comprehensive Google Meet and Calendar management through Google Calendar API v3 and Google Meet API v2, supporting calendar event creation with Meet links, space management, transcription, recording, attendance tracking, and meeting moderation controls.

A local MCP server that gives Claude a durable reading room for EPUB and plain text books, enabling chunk-by-chunk navigation, annotations, progress tracking, and shared margin cards.

Enables a shared reading room where users and Claude can import EPUB or text books, read chunk-by-chunk, annotate passages, search, track progress, and resume from unread sections.

A flexible proxy server that aggregates multiple backend MCP servers into a single interface using STDIO or SSE transports. It supports dynamic server management via an HTTP API and utilizes namespacing to prevent tool conflicts across connected services.

Enables AI agents to interact directly with Google Sheets to create, read, and edit spreadsheets through the Model Context Protocol. It supports a wide range of actions including cell manipulation, row and column management, and sheet organization.

This MCP server enables AI assistants to automatically sync Google Sheets data to a local database and perform natural language queries and analysis on spreadsheet data.

A hosted MCP server that allows AI assistants to access Google Calendar and Sheets via OAuth proxy, requiring no Google Cloud setup.

Enables multiple AI agents using MCP-compatible clients to collaborate in parallel on the same project across one or more machines, with direct messaging, a shared task board, atomic file/folder locking, presence tracking, and a live web dashboard.

MCP server for managing multiple SSH servers via AI assistants, offering tools for remote command execution, file operations, and system monitoring.

Enables an AI assistant to access many named PostgreSQL database connections at once, selecting connections by name or alias and reusing pools for queries, schema inspection, and analysis tools. It supports read-only or unrestricted access modes, live config reloads, and safe result truncation.

Enables interaction with Google Spreadsheets through the Model Context Protocol. Supports reading, writing, appending rows, creating sheets, and retrieving spreadsheet information with Google Cloud service account authentication.

Exposes CodeGraph capabilities for multiple local repositories to MCP-compatible AI coding assistants, enabling multi-repo code exploration and cross-repo symbol tracing.

Enables MCP clients to connect to a privacy-first, self-hostable workout planning and training log, allowing coaching agents to preview and apply program changes while accessing training data through OAuth-protected endpoints.