"Google Drive and MCP (possible topics: integration, management, or related tools)" matching MCP servers:

Enables Claude to manage Google Drive files and folders through natural language commands. Supports creating folders, moving/renaming files, retrieving file metadata, and listing folder contents with secure OAuth authentication.

This MCP server integrates with Google Drive to allow listing, reading, and searching files, as well as the ability to read and write to Google Sheets.

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.

An MCP server that enables integration with Google Drive through a service account to list files and retrieve detailed file metadata. It allows users to browse and inspect Drive contents using natural language via the Model Context Protocol.

MCP server that provides full access to Proton Drive via Claude Desktop or CLI, enabling file operations, sharing, and trash management with end-to-end encryption.

MCP server for E.Leclerc Drive that enables searching products, managing a cart, and preparing grocery orders natively through natural language.

Enables users to connect to their email inbox via IMAP to search, filter, and summarize emails based on criteria like subject, date, and sender. Supports marking emails as read and provides customizable email summarization with various prompt options.

Enables deep integration with Google Workspace for AI assistants, allowing for document creation, spreadsheet manipulation, and file management. It supports advanced features like template processing, comment thread management, and cell formatting.

Enables searching, reading, and commenting on Google Drive documents through secure OAuth2 authentication, with support for creating styled notes directly in document content.

Enables creation and management of Google Forms with support for all 12 question types, response collection, CSV export, and form publishing through OAuth-authenticated API access.

A server that provides a Machine Control Protocol (MCP) interface to search, access, and interact with Google Drive files and folders, enabling AI assistants to work with Google Drive content.

Enables Jira integration with dynamic configuration, time logging, task creation, issue updates, and bulk imports through natural language.

MCP server that lets AI validate and create sales funnels (pipelines, stages, custom fields) in Kommo CRM, supporting multiple client accounts with explicit confirmation before writing.

An MCP server that connects any two systems so an agent can explore both, map between them, and run real data transfers — then shows its working in a run folder you can audit afterwards.

Enables voice-controlled Instagram account management from the Mac notch, including reading insights, comments, DMs, and publishing photos or carousels via natural language, with scheduled publishing and secure photo handling.

Unifies CRM and productivity tool APIs behind a single interface, letting AI agents and developers create, update, delete, and list records across Zoho, HubSpot, Odoo, Google Sheets, Gmail, and Google Calendar without handling platform-specific schemas.

Enables interaction with SAP Integration Suite for designing, creating, and managing integration artifacts including integration flows, message mappings, packages, and B2B trading partner relationships through AI-powered natural language commands.

Enables AI agents to interact with GitHub through OAuth-authenticated operations including starting authorization flows, listing repositories, and creating issues using stored access tokens.

Connects AI assistants to your n8n instance to manage workflows, executions, credentials, and user settings through 31 specialized tools. It enables users to perform n8n operations like workflow creation, activation, and execution history retrieval via natural language.

Manage Job using MCP: Manage Job, Candidates, Resumes, Salaries all within this one MCP tools It can solve problems like: You have 50 resumes to screen. Your AI assistant can reason about candidates, but it can't: Read PDFs/DOCX — The AI can't open binary files Extract structured data — Copy-pasting loses formatting, metrics, and context Compare at scale — No consistent scoring across candida