"Information about Azure OpenAI" matching MCP connectors:

Ask your AI assistant a cost question. Get allocation, correlation, and explanation in one response. Costory connects Claude, Codex, or Cursor to normalized cost data across AWS, GCP, Azure, Datadog, OpenAI, and Anthropic. https://costory.io Free trial 14 days, 250 USD / month up to 10M Spend

Control Plane (controlplane.com): deploy and operate workloads across AWS, GCP, Azure, and more.

The AWS Knowledge MCP server is a fully managed remote Model Context Protocol server that provides real-time access to official AWS content in an LLM-compatible format. It offers structured access to AWS documentation, code samples, blog posts, What's New announcements, Well-Architected best practices, and regional availability information for AWS APIs and CloudFormation resources. Key capabilities include searching and reading documentation in markdown format, getting content recommendations, listing AWS regions, and checking regional availability for services and features.

TelnyxA

com.telnyx.api

The Telnyx MCP server is an official implementation of the Model Context Protocol that enables AI clients (like Claude Desktop, Cursor, and OpenAI Agents) to interact with Telnyx's telephony, messaging, and AI assistant APIs. It provides comprehensive capabilities including making and managing phone calls, sending SMS/MMS messages, purchasing and configuring phone numbers, creating AI assistants with custom instructions, managing cloud storage buckets, scraping and embedding website content, and handling integration secrets. The server exists as both a local implementation and a remotely hosted version, allowing developers to integrate real-world communication infrastructure directly into AI applications.

The Google Compute Engine MCP server is a fully-managed Model Context Protocol server that provides tools to manage Google Compute Engine resources through AI agents. It enables capabilities including instance management (creating, starting, stopping, resetting, listing), disk management, handling instance templates and group managers, viewing machine and accelerator types, managing images, and accessing reservation and commitment information. The server operates as a zero-deployment, enterprise-grade endpoint at https://compute.googleapis.com/mcp with built-in IAM-based security.

CloudOracle - 14-tool multi-cloud compliance MCP: AWS, Azure, GCP posture, IAM, configs.

ZopnightOAuth

dev.zop.api

Read-only cloud cost and infrastructure governance across AWS, Azure and GCP. 85 tools covering cost overview and trends, cost by provider/resource/tag/team, budgets, resources, schedules, recommendations, tagging policies, audit logs, anomalies, Kubernetes resources and pod logs. Hosted remote server, nothing to install. Docs: https://zop.dev/learn/mcp-server?utm_source=glama&utm_medium=listing&utm_campaign=mcp-directory Claude setup: https://zop.dev/learn/how-to/set-up-zopnight-mcp-for-claude

Cloud cost + FinOps knowledge for AI agents: AWS/Azure/GCP optimisation, AI spend, waste playbooks.

CloudQuellOAuth

com.cloudquell

Ask about AWS, Azure, GCP, OpenAI, Anthropic and Snowflake costs, budgets, and anomalies.

B2AI infrastructure API for autonomous agents. Normalizes AWS, Azure, and GCP into a unified schema with execution kits (Terraform + CLI), cost estimates, and cross-provider recommendations.

Cloud cost, inventory and governance on AWS/Azure/GCP. Read-only by default, optional scoped writes

levelfour-mcpOAuth

ai.levelfour

Cloud cost visibility and savings recommendations grounded in your actual AWS, GCP and Azure bill.

FinOps MCP: query allocated, correlated cloud and AI cost across AWS, GCP, Azure and Snowflake.

Compare, estimate, and deploy cloud infrastructure across AWS, GCP, and Azure for AI agents.

Unified API to query AWS, GCP, Azure and generate Terraform/CLI execution kits for AI agents.

Verified cloud cost forecasting for AI agents. AWS, GCP, Azure pricing matrix.

Verified cloud cost forecasting for AI agents. AWS, GCP, Azure pricing matrix.