Google Cloud Platform
Amazon AWS
Microsoft Azure
DigitalOcean
Heroku
Linode
Vultr
Kubernetes
GitHub MCP Server
mcpserver.design
MCP-Builder.ai
MCP.so
picocli
Kiro
Claude for Desktop
AWS Fargate
Google Cloud accelerates every organizationโs ability to digitally transform its business and industry by delivering enterprise-grade solutions that leverage Googleโs cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Google Cloud Platform GitHub MCP ServerNo features have been listed yet.
Based on our record, Google Cloud Platform seems to be a lot more popular than GitHub MCP Server. While we know about 210 links to Google Cloud Platform, we've tracked only 18 mentions of GitHub MCP Server. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
A Safe, Live Data Layer: Instead of testing in a vacuum with fake data, developers bootstrap ideas using Google AI Studio templates. These hook into a secure Google Cloud proxy server that grants pre-authenticated, read-only API access to live components - like playlists, videos, and channels. You get technical accuracy without any risk of polluting or crashing core databases. - Source: dev.to / about 2 months ago
For sheets that need to move in real time, pair our WebSocket feed with a small bridge running on a Google Cloud function. Our WebSocket candles guide shows a reconnect-safe pattern in Node.js, and the low-latency forex dashboard use case covers the same idea end to end. WebSocket access begins on the Plus plan. - Source: dev.to / 3 months ago
Google Cloud Secret Manager and Azure Key Vault offer equivalent capabilities for applications on those platforms, with similar integration into the respective container and serverless runtimes. If your application is already running on a cloud platform, the native secrets manager is usually the right choice before evaluating a self-hosted alternative. - Source: dev.to / 3 months ago
Cloud Run is a fully managed serverless platform on Google Cloud that runs containers. You give it code, it gives you a URL. No clusters to provision, no nodes to manage, no load balancers to configure. You bring the code; Google handles everything else. - Source: dev.to / 5 months ago
One thing worth knowing: Google Cloud gives you $300 in free credits when you create a new account. If youโre just experimenting and testing things out, this is genuinely useful โ you can run Gemini at full capacity for weeks without paying a cent. Just go to cloud.google.com, create an account, and the credits are much higher. Well worth setting up before you start. - Source: dev.to / 5 months ago
I have a small "GitHub summarizer" agent: one system prompt, one job โ answer questions about my GitHub account by calling the GitHub MCP server. I duplicated its configuration (MAVERIK supports this directly โ same model, same prompt, same everything) and changed one field on the copy: the set of attached MCP servers, adding deepwiki, microsoft-learn, and context7. Neither agent needs any of those three for the... - Source: dev.to / 12 days ago
GitHub's official MCP server is excellent โ and GitHub is narrowing its default toolset and consolidating PR tools into fewer, more capable ones, explicitly to cut tool bloat and improve agent reasoning. The implication is hard to miss: even one of the best API companies on the planet is learning that a 1:1 mapping from product API to agent tools isn't the right shape. - Source: dev.to / about 2 months ago
The official GitHub MCP server registers 83 tools. Most people set it up for reading code and managing issues. What they don't realise is they've also handed their agent the keys to:. - Source: dev.to / about 2 months ago
A lot of people use MCP servers to connect Claude to tools. I'm not generally a fan. MCP servers load a lot of information into context and often don't do everything that the API can. Last I looked, even the official Github MCP Server is guilty of this. I'd rather write tools directly, to my specifications. - Source: dev.to / 4 months ago
Rather than manually searching through repositories, I used Kiro with the GitHub MCP server to:. - Source: dev.to / 4 months ago
Amazon AWS - Amazon Web Services offers reliable, scalable, and inexpensive cloud computing services. Free to join, pay only for what you use.
mcpserver.design - Managed MCP server for PostgreSQL, MySQL, MS SQL and Supabase. One secure URL, read-only by default, AES-256 encryption.
Microsoft Azure - Windows Azure and SQL Azure enable you to build, host and scale applications in Microsoft datacenters.
MCP-Builder.ai - Create your custom MCP-Server in seconds
DigitalOcean - Simplifying cloud hosting. Deploy an SSD cloud server in 55 seconds.
MCP.so - The largest collection of MCP Servers, including Awesome MCP Servers and Claude MCP integration. Search and discover MCP servers to enhance your AI capabilities.