"Understanding File Reading in Programming" matching MCP servers:

Enables moving artifacts from ChatGPT/Codex sandboxes to remote server storage via host-native file parameters, streaming large files without Base64 or model-context overhead.

Enables downloading real binary files from Egnyte and uploading large files with chunked support, complementing the official Egnyte MCP connector.

MCP server that lets AI assistants browse, search, and read files from a Google Drive folder, supporting local stdio and remote HTTP deployments with tools like list_files, search_files, get_file_info, and read_file.

Enables uploading files to MinIO (S3 compatible) via MCP tools. Supports Base64 file upload and optional curl command generation.

Model Context Protocol (MCP) server for simple and instant file sharing. Input: file name → Output: download link in Seconds even for large file

Enables secure file uploads to Amazon S3 with progress tracking and presigned URL generation. Provides automatic UUID-based file naming and time-limited access URLs for uploaded files.

Enables AI to upload local files to RustFS storage service and download files from HTTP/HTTPS URLs to local paths. Built with FastMCP and RustFS SDK for seamless file operations through natural language.

Enables searching and retrieving files from SharePoint and OneDrive within Microsoft 365, with local caching for efficiency.

Enables LLM agents to lift local files into Google Drive as native Docs, Sheets, or Slides with formatting preserved, by passing file paths directly without routing bytes through the conversation.

Read-only access to a local Hiberden backup catalog: list projects, archives, tapes, and jobs, check 3-2-1 coverage, and verify a stored copy by reading it back and re-hashing it. Runs against the catalog on your own machine, so nothing leaves it.

Upload any file from the local filesystem and get a shareable, expiring link — with tools to check file status, list recent uploads, and delete files on demand.

Enables MCP clients to connect to AWS S3 buckets, list, upload, and read objects in various formats, supporting public and private buckets with multiple transport modes.

Enables AI assistants to explore and manage S3-compatible object storage (AWS S3, RustFS, MinIO, Cloudflare R2) by listing buckets and objects, inspecting metadata, and reading object contents with capped range requests. Write operations such as upload and delete are available but disabled unless explicitly enabled, with optional bucket allow-listing and custom TLS trust.

MCP server for OVHcloud Object Storage, enabling management of buckets, objects, project users, S3 credentials, and storage policies. Read-only by default with opt-in write tools.

Exposes Poi's external APIs (file upload/download, commenting, license key issuance) as MCP tools for use with LLM clients like Claude.

An MCP server that wraps the rustypaste API, allowing users to upload text, files, and URLs to a rustypaste instance. It supports features such as single-use links, file expiration, and URL shortening.

Enables file uploads to AWS S3 buckets with automatic MIME type detection.

A PUT-only MCP server for MinIO that enables file, batch, and streaming uploads with automatic date/machine/file path organization and metadata generation for data archiving.

Enables users to upload files and generate tracked, shareable links directly from AI agents like Claude Desktop or Cursor. It supports publishing various file formats including text, PDFs, and images, while providing tools for artifact management and analytics.

Enables agents to list, read, write, create, move, delete files and folders, create public share links, and search filenames in a single Nextcloud account via WebDAV and OCS, using app-password credentials from environment variables.