"A search for documents" matching MCP servers:

A production-ready Model Context Protocol server that bridges local document management with cloud synchronization (Notion) for AI agent integration, enabling seamless access and sync of local and cloud documents.

Enables AI apps to work with Google Drive in plain language, including searching, organizing, uploading, downloading, exporting, sharing, and commenting on files, with reversible trash and configurable access scopes.

MCP server that lets AI agents read and search project documents in OMOS Shared Drive, with source-referenced answers and Google Drive links.

MCP server that enables AI agents to read, edit, and manage SharePoint documents with proper checkout, check-in, version history, and audit trails.

Exposes the Dropbox API v2 to LLM agents as a fixed set of MCP tools, enabling file management, search, shared links, and account operations with support for Business team-space namespaces.

Unified MCP server for Google Classroom, Drive, and Docs, enabling AI assistants to manage courses, assignments, files, and documents.

Full-access MCP server for managing AR LABS (Viral AI Prompts & Guides), enabling post creation, editing, deletion, image uploads, push notifications, comment moderation, and site stats via AI assistants.

MCP server for managing Google Drive documents from Cursor, enabling file operations like list, search, download, upload, update, create folders, and delete.

MCP server for interacting with Google Drive using a service account, restricted to a specific root folder. Supports file operations like search, list, create, update, and read.

Z-CLI provides NAS operations like file management, pool queries, search, and file operations through CLI and MCP Server, enabling AI assistants to interact with zspace private cloud.

MCP server for Google Drive integration with file management, search, sharing, and full CRUD operations.

Enables AI assistants to manage Microsoft SharePoint documents and folders through natural language, supporting operations like listing, reading, uploading, updating, deleting, and creating Office files.

Enables AI models to interact with Akave's S3-compatible storage by providing tools for managing storage buckets and objects through standardized Model Context Protocol (MCP).

A Model Context Protocol server that provides seamless access to multiple storage services including S3, Azure Blob Storage, and Google Cloud Storage through Apache OpenDAL™.

Enables read-only access to multiple Google Drive accounts simultaneously through secure service account authentication. Supports listing, searching, and extracting content from Google Workspace documents, spreadsheets, and text files.

Manages .ai/ workspace folder, syncs assets with a cloud service, and generates environment-specific bootstrap files for AI context management.

Provides access to organizational Sharepoint documents through the Microsoft Graph API, enabling search and retrieval of Sharepoint content for AI assistants.

Layven is a shared drive for AI agents over MCP, with versioning, attribution, and rollback. It enables file operations like list, read, write, edit, delete, restore, search, and activity tracking.

MCP server for reading and searching SAP Commerce Cloud (CCV2) logs stored in Azure Blob Storage, enabling log listing, retrieval, and regex search via MCP tools.

MCP server for Google Drive, Docs, and Sheets — built for Claude Code. Gives Claude Code direct read/write access to Google Sheets (cell-level edits, formatting, structure), Google Docs (insert, replace, append), and Drive (search).