Pulumi MCP server
Pulumi, another popular option for IaC, has also launched an official MCP server. The MCP server allows agents to query a Pulumi organization’s registry, which provides access to cloud resources and infrastructure, and execute Pulumi commands.
For example, in this walk-through, Pulumi shows how a developer could use its MCP server to provision an Azure Kubernetes Service (AKS) cluster. The developer issues natural-language instructions to an AI assistant, prompting the AI to execute MCP tools that invoke Pulumi CLI commands.
MCP caveats
Just as vibe coding isn’t a fit for every project, MCP isn’t the best option for every use case either. According to MCP experts, these servers can be unnecessary when they sidestep standard CLIs.
They can also introduce major security risks. This tracks with AI use in general, as 62% of IT leaders cite security and privacy risks as the top AI concern, according to the AI in DevOps report by Enterprise Management Associates (EMA).
As such, it’s best to test out these MCP servers with low-risk permissions, like read-only capabilities, before testing write functions. And use them only with trusted LLMs and trusted MCP clients.
Also, beware of exposing high-value, long-lived privileges to MCP clients. Because AI coding agents are based on nondeterministic LLMs, their behavior can be unpredictable. Throw in autonomous control over mutable devops functions, and you could land in all kinds of trouble, ranging from broken deployments to runaway token usage.
Lastly, using the official MCPs above, as opposed to community-supported libraries, will probably guarantee longer longevity and ongoing maintenance, too.
Early MCP success stories
Although it’s still early days with MCP and agents, there’s a sense of cautious optimism as proven MCP workflows emerge.
Take Block’s journey. Through company-wide use of its MCP-compatible agent, Goose, 12,000 employees are now utilizing agents and MCP for “increasingly creative and practical ways to remove bottlenecks and focus on higher-value work,” writes Angie Jones, head of developer relations.
Other engineers report using MCP servers to enhance workflows that are devops-adjacent, like the Filesystem MCP server for accessing local files, the Linear MCP server for issue tracking, the Chrome DevTools MCP server for browser debugging, and the Playwright MCP server for continuous testing.
And beyond the official MCP servers mentioned above, many community-supported MCPs are emerging for Docker, Kubernetes, and other cloud-native infrastructure utilities.
Devops comes with toil and cost. So, the case to level it up with MCP is strong. As long as you keep controls safe, it should be fun to see how these MCP servers integrate into your work and impact your productivity. Happy MCP-opsing.
