"A server for finding Google Sheets information and resources" matching MCP servers:

A locally running MCP server that provides cell-level and formatting-level control over Google Sheets via the Sheets API v4, enabling reading, writing, formatting, and managing spreadsheets through natural language.

A Model Context Protocol server that integrates with Google Drive and Google Sheets, enabling users to create, read, update, and manage spreadsheets through natural language commands.

A comprehensive Google Sheets MCP server offering 26 tools for read/write, structural updates, Drive search, and an escape hatch for executing arbitrary Node.js code with pre-authenticated Sheets and Drive clients.

A write-only MCP server for Google Sheets with safety features including whitelist, dry-run, snapshot, and audit logging.

MCP server that demonstrates the Resources feature by exposing static and dynamic resources, including contact data and personalized greetings, through MCP.

LLM routing proxy that cuts API costs 60-90% by auto-selecting the cheapest capable model across OpenAI, Anthropic, and Google. Provides stats, config, and model comparison tools via MCP.

Provides comprehensive Google Sheets integration for creating, reading, updating, and managing spreadsheets programmatically via tools like batch updates and range operations. It enables automated workflows for data analysis, project management, and synchronization within the Model Context Protocol.

Enables AI assistants to access, search, and analyze Google Spreadsheets through the Model Context Protocol. Supports both OAuth 2.0 for private sheets and API key authentication for public sheets, with tools for listing, reading, and searching spreadsheet data.

Relays a result screenshot to Slack so you can review a coding agent's output without opening the app.

Enables coding agents to add a bounded semantic-judgment layer for routing, ranking, extraction, verification, and escalation, returning typed signals and review recommendations.

Automatically crawls documentation websites, converts them to organized markdown files, and generates condensed cheat sheets. Intelligently categorizes content into tools/APIs and provides local-first access to downloaded documentation.

Provides over 1,000 creative ways to decline requests across four categories (polite, humorous, professional, and creative). The MCP server wraps a REST API to help users craft professional rejections through natural language interactions.

A validation layer for AI coding assistants that enforces explicit LLM evaluations on plans, code diffs, and tests to ensure safer and higher-quality code.

Read and write Google Sheets, Docs, Drive, and Apps Script from any MCP client. 82 tools with OAuth2 auth, tested against live Google APIs.

A Model Context Protocol server that enables AI assistants like Claude to read from, append to, and format text in Google Documents programmatically.

Provides a secure bridge for AI assistants to interact with the Google Sheets API via 31 tools for spreadsheet management, data manipulation, and table-level operations. It supports both Service Account and OAuth 2.0 authentication for tasks including batch updates, CSV imports, and conditional formatting.

A deployable MCP server template for Cloudflare Workers that provides Google OAuth authentication and comprehensive analytics tracking of tool usage, performance metrics, and user behavior.

Enables Codex to consult Claude Code for a second opinion through a local stdio MCP server, exposing the ask_claude tool for text-only reviews and recommendations using existing Claude Code authentication. Codex can request findings and tradeoff analysis without allowing Claude to edit files or run commands.

Use Codex as a subagent inside Claude Code: async dispatch into a long-lived codex app-server, results pushed back into the Claude session automatically, steer/interrupt mid-task, and Codex's built-in code review.

This MCP server enables AI assistants to search the Google Fonts catalogue, retrieve detailed font metadata, generate live HTML text previews, and obtain embed code for use on web pages.

MCP server for searching Google Fonts and generating complete CSS/Tailwind typographic systems with font pairings and modular scales.

Odds are, most of what you want to build is already open source. Tell your AI agent what you're making, and it finds it: which repos to use as they are, which to adapt, and what's left for you to write. Every repo it names is real, licensed for your use or flagged, and checked live.

Provides comprehensive system diagnostics and hardware analysis through 10 specialized tools for troubleshooting and environment monitoring. Offers targeted information gathering for CPU, memory, network, storage, processes, and security analysis across Windows, macOS, and Linux platforms.

Enables reading release lifecycle status, recent written reviews and bulk monthly report CSVs for allowlisted apps, and searching the full pinned Play API catalog with each method's implementation status. Read-only by design, with keyless authentication, explicit app allowlists and bounded, GET-only access to official Google interfaces.

Enables AI coding agents to discover and verify current open-source libraries and models using live GitHub activity, PyPI adoption, license checks, and hardware VRAM estimates before generating code.

Enables automation of Google Jules AI coding assistant through task creation, code review automation, repository management, and AI-powered development workflows. Supports multiple session modes including cloud deployment with persistent authentication.

Enables AI assistants to diagnose and fix technical SEO, content and generative-engine-optimization issues in one conversation by bundling 102 tools spanning Google Search Console, Analytics 4, PageSpeed/CrUX, structured data, llms.txt, AI-crawler access, WordPress and GitHub.

Google Tag Manager MCP server for managing tags, triggers, and variables from Claude, local or remote.

A CDP-native MCP server that lets AI agents drive a real Chrome browser with deep network/console inspection, robust page interaction, and the ability to reverse-engineer a site's API flow into runnable code with dependency chaining and replay verification.

Enables AI agents to break down complex tasks into manageable pieces using a structured JSON format with task tracking, context preservation, and progress monitoring capabilities.