"Information about Viewmax MCP for cloud" matching MCP servers:

Monorepo of MCP connectors for personal cloud services (Microsoft and iCloud), enabling access to Outlook Mail, OneDrive, iCloud Mail, and iCloud Drive via natural language.

Provides cloud architecture analysis, recommendations, and artifacts (diagrams, ADRs, deployment comparisons) for any project, supporting AWS, GCP, and Azure.

Connects Claude Desktop to a Qlik Cloud tenant for admin operations, allowing users to manage resources like spaces, apps, and automations via natural language.

Enables AI agents to interact with Adobe Commerce Cloud projects via REST API and SSH for database queries, log reading, environment management, and more, with no PHP CLI required.

Enables AI agents to manage EMQX Cloud through separate Platform and Deployment API connections, covering project and deployment lifecycle, MQTT client, subscription and metric inspection, built-in authentication users and ACL rules, banned lists, retained messages, publishing, and data integration. It is read-only by default, with opt-in flags for write, destructive, and integration operations.

Enables Claude Desktop to search, read, and update Confluence Cloud pages, spaces, attachments, comments, and version history through the Confluence REST API v1 and v2 using local stdio.

Enables creation of word cloud visualizations from various document formats (PDF, Word, TXT, MD) with intelligent text extraction, customizable themes, and multiple output formats (SVG, PNG, JPG, WebP).

Local MCP server enabling agents to track Xcode Cloud builds and access TestFlight crash reports through the App Store Connect API.

Enables LLM clients to access crop yield predictions from RGB imagery, topic-based PDF literature, and soil lab/moisture CSV data.

Turns a codebase into a persistent knowledge graph so AI coding agents can answer structural questions about functions, call chains, routes, and cross-service links through graph queries instead of reading files one by one.

Enables visualization of Terraform plan changes as interactive cloud architecture diagrams with official AWS, Azure, and GCP icons, showing resource dependencies and changes.

A read-only MCP server that analyzes a supplied Terraform plan JSON file and returns resource identities, action/type/mode counts, and coverage warnings about proposed infrastructure changes. It never executes Terraform, applies changes, or connects to AWS, keeping analysis local and deterministic.

Audits dbt Core projects for migration blockers and generates actionable guidance for migrating to dbt Cloud, including auto-fixing deprecated syntax.

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.

Enables AI clients to assess infrastructure-as-code deployment risk, generate incident response runbooks, review CI/CD delivery readiness, and calculate SLO error budgets through structured advisory tools. Runs locally over stdio without cloud credentials or external API calls, returning guidance for platform work, pull request review, and production readiness checks.

Enables AI agents to perform local video, audio, and file operations inside an isolated workspace, including cutting/concat videos, extracting audio, transcribing, and managing files, with typed responses and background job support.

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.

Gives LLM agents spatial awareness inside Autodesk Maya, enabling scene inspection and measurement, aesthetic and engineering audits, camera planning, checkpoint/rollback safety, asset import, and viewport or render previews. Agents can also execute arbitrary Python in Maya to build and verify 3D scenes against engineering rules instead of writing blind.

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.

Provides AI assistants with specialized tools to interact with NIST's Open Security Controls Assessment Language (OSCAL) framework. It enables agents to retrieve schemas, explore models, and generate valid OSCAL documentation for security compliance automation.