MCP Servers and Integrations

Imagine a world where you can seamlessly integrate AI with your cloud infrastructure—no complex setup, no extensive coding. Thanks to Model Context Protocols (MCPs), that world is becoming a reality.

Big tech companies are rolling out these integrations, allowing developers to automate tasks, streamline operations, and tap into the full potential of AI-powered workflows. In this post, I’ll dive deep into the MCPs offered by top players like AWS, Google, and Microsoft, giving you the tools you need to stay ahead of the curve.

Let’s explore how these integrations are revolutionizing cloud infrastructure and transforming the way developers work.

MCP-Servers-And-Integrations

Company/Developer MCP Integration Name Description Source / Code Link
Amazon AWS AWS MCP Servers Specialized MCP servers that bring AWS best practices directly into your development workflow. GitHub – AWS Labs (awslabs/mcp)
Microsoft Azure MCP Server Gives MCP clients access to key Azure services and tools (Storage, Cosmos DB, CLI, etc.). GitHub – Azure (Azure/azure-mcp)
Google Cloud Google Cloud Run Enables AI agents to deploy code to Google Cloud Run. GitHub – GoogleCloudPlatform (cloud-run-mcp)
Alibaba Cloud DataWorks MCP Server Allows AI to interact with Alibaba Cloud’s DataWorks OpenAPI for seamless cloud resource operations. GitHub – Alibaba Cloud (dataworks-mcp-server)
Cloudflare Cloudflare MCP Server Deploy, configure, and manage resources on Cloudflare’s developer platform (Workers, KV, R2, D1). GitHub – Cloudflare (cloudflare-mcp-server)
MongoDB, Inc. MongoDB MCP Server Supports both MongoDB Community Server and Atlas (cloud) for database queries. GitHub – mongodb-js (mongodb-mcp-server)
Neon (NeonTech) Neon Postgres MCP Interact with Neon’s serverless Postgres database platform. GitHub – Neon Database (neondatabase-labs/mcp-server-neon)
ClickHouse, Inc. ClickHouse MCP Enables natural-language queries against a ClickHouse analytics database server. GitHub – ClickHouse (ClickHouse/mcp-clickhouse)
Upstash Upstash (Redis) MCP Manage Redis databases and run Redis commands on Upstash via natural language. GitHub – Upstash (mcp-server)
CircleCI CircleCI MCP Server Allows AI agents to identify and fix build failures on CircleCI continuous integration. GitHub – CircleCI (mcp-server)
Bitrise Bitrise MCP Server Chat with your CI/CD builds and perform build and app management operations on Bitrise. GitHub – Bitrise (mcp-server)
BrowserStack BrowserStack MCP Access BrowserStack’s cloud testing platform to debug tests, run accessibility checks, and more. GitHub – BrowserStack (mcp-server)
Atlassian Atlassian Remote MCP Securely interact with Jira work items and Confluence pages, with search across both. Atlassian – Remote MCP Server Docs
Twilio Twilio MCP Tools Interact with Twilio APIs (send SMS, manage phone numbers, configure account settings, etc.). GitHub – Twilio Labs (mcp-server)
Zapier Zapier MCP (Beta) Connect AI agents to 8,000+ apps instantly through Zapier’s integration platform. Zapier – MCP Integration Page
PayPal PayPal MCP Server PayPal’s official MCP server for integrating PayPal services into AI agents. PayPal – MCP Documentation
Xero Xero MCP Server Interact with your business’s accounting data via Xero’s official MCP server. GitHub – Xero API (mcp-server)
Box, Inc. Box MCP Server Interact with Box’s intelligent content management platform (Box AI) via MCP. GitHub – Box Community (mcp-server)

As the adoption of MCPs accelerates, developers must stay on top of these integrations to leverage the full potential of AI in their cloud environments. The rise of MCPs is set to dramatically simplify the way we build, deploy, and manage cloud resources.

Whether you’re working with AWS, Microsoft Azure, or newer providers like Upstash and Neon, the future is about intelligent automation and seamless integration. Be sure to check out these integrations and start exploring how they can enhance your workflows.

Stay ahead of the curve and embrace the future of cloud computing powered by AI!