"Information about Azure (Microsoft Cloud Computing Service or General Search)" matching MCP servers:

The Azure MCP Server, bringing the power of Azure to your agents.

A persistent 24/7 background daemon that aggregates all downstream MCP servers into one unified connection and layers on a real-time notification gateway so AI agents can receive events from X/Twitter, Slack, Email, and webhooks.

Enables connections to Azure AI Agents within any MCP client, allowing users to leverage Azure AI Foundry's models and knowledge tools like Azure AI Search and Bing Web Grounding through a conversational interface.

Enables natural language interaction with Azure services through Claude Desktop, supporting resource management, subscription handling, and tenant selection with secure authentication.

Reference MCP server for IOX Cloud — a deployment platform for MCP servers and AI agents. Deploys to 300+ edge locations via Cloudflare Workers for Platforms with per-tenant V8 isolation, built-in OAuth 2.1, and usage tracking. This repo demonstrates a minimal MCP server that introspects the IOX Cloud platform (tools: get_platform_info, list_templates, estimate_cost, check_slug_available).

Fans out agent requests to AWS, Azure, and GCP MCP servers, using a local sentence transformer to surface only the 15 tools relevant to the current task, reducing context bloat.

A Model Context Protocol service that enables agent authentication and integration with TrustGo platform, providing access to real-time data like price, sigma score, and mindshare bubble analytics.

Enables connecting multiple business tools behind a single managed MCP endpoint with per-connector permissions, dispatch, and audit records.

Enables AI assistants and other MCP clients to launch and steer Cursor Cloud Agents on repositories or as repo-less research tasks, including model selection, mid-run follow-ups, cancellation, result retrieval, and run listing. Also exposes authentication checks and per-agent or per-run token usage and cost reporting.

A Model Context Protocol (MCP) server that integrates Claude with the Terraform Cloud API, allowing Claude to manage your Terraform infrastructure through natural conversation.

Enables MCP-compatible AI agents to deploy applications to Google Cloud Run by providing tools for deploying code, listing services, and managing Google Cloud projects.

Enables management of Verda Cloud GPU instances through Claude, allowing users to deploy spot instances, attach volumes, and monitor status. It supports automated workflows for checking availability and configuring instances with startup scripts.

Enables any MCP client to triage cloud agents, projects, conversations, transcripts, pull requests, and files, including listing agents, reading transcripts, following runs, and sending follow-ups, using an API key or browser sign-in.

Enables comprehensive integration with Azure AI services including OpenAI, Cognitive Services, Computer Vision, and Face API through a mission-critical MCP server. Provides enterprise-grade reliability with high availability, observability, chaos engineering, and secure multi-region deployment capabilities.

Enables AI agents to perform web search, extraction, and research across multiple provider backends with persistent multi-key rotation and auditable routing. Supports MCP, CLI, and Agent Skill entry points.

Enables a single user to let ChatGPT read and control a dedicated Chromium browser running on their own server, with tab, navigation, and browser-action tools plus manual approval safeguards.

Exposes Cursor Cloud Agent operations as native MCP tools, letting MCP-capable clients launch new agents, list and inspect recent ones, send follow-up prompts to resume them, and cancel running runs. Tool arguments are validated with Zod schemas and results include agent ID, URL, and final assistant output.

Zep Cloud MCP Server: Provides memory management via the Zep Cloud API. Enables storing and retrieving user preferences, procedures, and factual relationships through a knowledge graph. Supports fallback mode for reliable operation when API is unreachable.

An MCP server providing discovery of x402 paid services, MCP servers, and A2A agents, with safety scanning capabilities.

Enables interaction with Azure AI Agent Service by automatically discovering agents and creating MCP tools for querying and managing agent workflows.

Enables AI agents to drive a remote headless Chromium browser through Playwright on Vercel serverless functions, supporting navigation, snapshots, clicking, form filling, key presses, scrolling, text extraction, screenshots, and JavaScript evaluation. Browser state is carried in an encrypted client-side session token, so no database or third-party browser service is required.

An auto-generated MCP server that enables interaction with Google Cloud Private Catalog API, allowing users to manage private catalogs and services through natural language.

Hosted remote MCP for AI agent browser approval. Provides structured tools for page approval workflows, session management, and audit receipts.

Provides Multi-Agent Conversation Protocol access to Google Cloud TPU services, enabling management of Tensor Processing Units through natural language interactions with the Google TPU API.

An MCP (Multi-Agent Conversation Protocol) Server that provides a standardized interface for interacting with Google's Cloud Vision API, enabling AI agents to analyze images and extract visual information through natural language.

Enables agents to discover and invoke travel recommendations with partner-specific caps and exclusions via MCP JSON-RPC.

An MCP (Multi-Agent Conversation Protocol) Server that enables AI agents to interact with Google's Cloud Translation API for translating text between languages.

An MCP server that exposes an Agno agent with Google Gemini reasoning and Serper web search, enabling MCP-compatible clients like Claude Desktop to perform agent-driven web searches and receive synthesized answers.

A multi-engine web search MCP server that integrates with coding agents, offering parallel search, page fetching, X/Twitter search, deep research, and configurable free/API layers.

An MCP server that enables web search capabilities using OpenAI's o3 model, allowing AI assistants to perform text-based web searches and return AI-powered results.