"Information about Microsoft Azure cloud platform" matching MCP servers:

A remote MCP server that provides full filesystem and shell access to a cloud-hosted environment via HTTPS, enabling Claude Desktop to read, write, edit, search files, and execute commands on a remote Azure machine.

Enables comprehensive filesystem operations across Linux, macOS, and Windows with platform-aware command execution, secure path restrictions, and intelligent adaptations for file search, directory management, and shell commands specific to each operating system.

Enables AI agents to remotely operate visual design tools via MCP protocol, with composable architecture for image processing, file operations, and workflow automation.

Enables AI clients to securely operate isolated coding workspaces with file, command, Git, and deployment tools via authenticated remote MCP.

Installs an agent on Linux hosts to allow shell commands, file edits, and service management through Claude.ai or ChatGPT via a secure outbound WebSocket connection.

Enables AI agents to operate a persistent Linux sandbox in the cloud, running commands, managing files, using Git, and publishing artifacts through a Streamable HTTP MCP endpoint.

This server implements the Model Context Protocol for seamless interaction with Azure Blob Storage and Cosmos DB, enabling automatic logging and audit tracking of operations.

Provides tools to monitor host system health including CPU load, disk usage, and network status while enabling file system management tasks like searching and moving files. It includes built-in safety guards to prevent operations on critical system directories.

This MCP server integrates with Azure AI Foundry's Claude deployment to provide document management functionality. It enables tools for reading, writing, and listing files, allowing Claude to interact with local documents through an Azure-compatible client.

Lets any MCP-compatible AI assistant read and edit Autodesk Civil 3D drawings through tools for alignments, surfaces, corridors, pipe networks, quantity takeoff, and cut/fill, using a local bridge plugin and named pipes.

Unifies local MCP servers into a single secure Cloudflare Tunnel endpoint, making them accessible to MCP clients like Notion and Claude. Supports HTTP/SSE/stdio servers, built-in file system tools, bearer authentication, and one-click Windows setup.

Enables cloud agents to securely operate local machine resources (files, commands, screenshots) via standard MCP protocol.

A FastAPI-based JSON-RPC 2.0 server implementation that enables users to work with HDF5 files, submit Slurm jobs, retrieve CPU information, and visualize CSV data through standardized API endpoints.

We all edit, including LLMs. Now using any MCP compatible client your can embed 'Microsoft's Edit CLI' in your chat workflow.

An implementation of the Model Context Protocol that allows AI models to interact with 360 AI Cloud Drive, providing comprehensive file management capabilities including uploading, downloading, searching, and sharing files.

Enables AI assistants to search documentation, read and update configuration files, and discover settings across your development workspace. Supports JSON, YAML, TOML, and Markdown files with seamless integration for GitHub Copilot and other MCP clients.

Secure agent coding runtime for local Git repos with policy enforcement, RBAC, sessions, approval workflow, and sandboxed writes, optionally connectable to ChatGPT via Secure MCP Tunnel.

Enables AI assistants to read, create, edit Word/Excel/PPT files and manage the filesystem on the user's computer via natural language.

Enables reading and searching documents in allowlisted folders via LiteLLM and MCP tools, using COM for Office files to support IRM-protected content.

A Model Context Protocol server that exposes Microsoft Edge browsing history across multiple profiles, allowing listing profiles and fetching history for a given day.