"Comparison of cloud service providers: Google Cloud, AWS, Vercel, Supabase" matching MCP servers:

Enables interaction with Confluence Cloud pages, spaces, content, media, and navigation via natural language, with session-based editing and native macro support.

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.

MCP server for asking questions about Prisma Cloud documentation

MCP server for asking questions about Cortex Cloud documentation

Provides offline, read-only full-text search over a local Yandex Cloud documentation checkout via MCP, with ranked search, line-numbered excerpts, and index status tools.

Enables AI clients to search and retrieve IBM Cloud documentation, converting pages to clean Markdown.

Enables AI assistants to search and access Google Cloud Platform documentation in real-time, supporting 20+ GCP services with natural language queries and smart content extraction.

MCP server for comparing Commvault release versions, retrieving categorized changes, and generating release summaries to support upgrade planning.

Enables unauthenticated MCP access to Google Cloud documentation by proxying requests to the Developer Knowledge API, allowing coding agents to query docs without direct Google authentication.

Enables AI-powered search and querying of the Vercel AI SDK documentation using natural language questions, with tools for direct similarity search and agent-based answers.

Enables searching and reading AWS knowledge from sources the official AWS Knowledge MCP Server does not index, including re:Post community Q&A, kiro.dev documentation, and AWS Builder Center posts.

Enables users to access, search, and get recommendations from AWS documentation through natural language queries. Supports both global AWS documentation and AWS China documentation with tools to fetch pages, search content, and discover related resources.

Enables access to AWS documentation through natural language by fetching and converting documentation pages to markdown, searching AWS docs, and getting content recommendations for AWS service documentation.

Enables AI agents to retrieve free, source-linked decision methods and optional decision packs through MCP tools such as catalog, method, sample_pack, and pack_offer. It operates without model calls and disables payments by default.

Provides search and retrieval over a local database of Pathfinder 2e rules. Enables Claude Code to answer rules questions with cited, accurate answers from fetched entries.

A self-synthesizing AI knowledge wiki that provides a read-only MCP surface for external agents to trace the wiki content and graph.

A Model Context Protocol (MCP) server that enables searching AWS Black Belt Online Seminars and retrieving their transcripts.

A Model Context Protocol implementation that enables AI assistants to interact with markdown documentation files, providing capabilities for document management, metadata handling, search, and documentation health analysis.

Provides real-time access to AWS security best practices, incident response playbooks, and preventive security measures from the official AWS Customer Playbook Framework repository. Enables users to query AWS security guidance for services like S3, IAM, EC2, and RDS through natural language.

Enables evidence-first AWS architecture work through deterministic design calculations, live official AWS knowledge, integration catalog/configuration, and optional authenticated local read-only AWS tooling for requirements, comparisons, diagrams, ADRs, and operational planning.

Enables querying context about the MAM product components and architecture through MCP, allowing agents to retrieve targeted product information on demand instead of loading full documentation.

The MCP server provides access to Clever Cloud's documentation, allowing users to query and interact with it through Model Context Protocol clients like Claude Desktop.

A Model Context Protocol (MCP) server that provides AI assistants with comprehensive access to n8n node documentation, properties, and operations.

Enables AI assistants to read and analyze Google Docs comments, including authors, status, quoted text, and reply threads, via a read-only interface with OAuth 2.0 sign-in.

Provides specialized development tools and utilities for Next.js, allowing AI agents to perform runtime diagnostics and access official documentation. It enables automated context initialization and real-time interaction with Next.js development servers to query application state.

Provides AI-powered search and documentation tools using Google Vertex AI or Gemini API with real-time web search grounding, enabling technical queries, code analysis, documentation retrieval, and architecture recommendations to overcome LLM knowledge gaps.

Provides AI agents with tools to access Material 3 design components, design tokens, icons, and accessibility guidelines across multiple frameworks.

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.

Gives coding agents source-grounded Apple developer knowledge by searching an index of WWDC20–WWDC26 sessions, Apple documentation, tutorials, Human Interface Guidelines, Swift Evolution, and App Store Review Guidelines. Enables API availability and deprecation lookups, transcript and "what changed" queries, guideline checks, and repo-level Swift app audits through 45 read-only tools.

Enables MCP clients to search, read, list, create, update, and delete Wiki.js pages using a user's own Google Workspace identity, with Wiki.js enforcing all authorization.